Law School, Laptops, and AI: Why Banning Computers Misses the Point (July 2026)

Law schools are throwing out the baby with the bathwater by banning laptops from the classroom as an effort to combat improper ai use.

On July 10, 2026, the conversation around artificial intelligence in legal education reached a new level. Reports of universities banning both AI tools and laptops in classrooms reflect a growing anxiety: how do we preserve critical thinking in an age of automation? ⚖️

It is a fair question. It is also the wrong solution.

Let me be clear at the outset. A first-year ban on AI tools makes sense. A blanket ban on laptops does not.

The Case for Limiting AI—At First

Legal education has always been about building judgment. That means learning how to analyze facts, synthesize doctrine, and construct arguments from scratch. AI short-circuits that process if used too early.

Under ABA Model Rule 1.1 (Competence), lawyers must provide knowledgeable and skilled representation. That competence begins in law school. If students rely on AI before they understand the law themselves, they risk becoming operators instead of thinkers.

As I have noted in prior discussions on legal technology, AI should augment—not replace—legal reasoning.

So yes, a structured limitation on AI during the first year is defensible. It creates a foundation. It forces students to wrestle with ambiguity. It builds intellectual muscle. 💡

But Banning Laptops? That Is an Overreach

This is where the policy breaks down.

When I entered law school then graduated in 2002, laptops were just beginning to appear in classrooms. They were not universal. They were not always welcome.

For me, the laptop was not a distraction. It was essential.

My handwriting was and sadly still is poor. My ability to type, organize notes, and revise quickly made the difference between struggling and succeeding. My laptop was not a shortcut. It was an accessibility tool before we used that term widely.

Fast forward to today. Students are typing far more than they write. Many have never learned cursive. Their academic workflows are digital from the start.

To remove laptops is not to level the playing field. It is to shift it—often unfairly.

The Practical Reality of Modern Learning

Legal education does not exist in a vacuum. Law practice is digital.

Law students who learned on laptops will be disadvantaged if classrooms suddenly ban them.

Under ABA Model Rule 1.1, Comment 8, lawyers must understand the benefits and risks of technology. That obligation does not begin after graduation. It begins in law school.

Students today must learn:

• How to organize digital research

• How to draft and revise efficiently

• How to manage documents and workflows

• How to integrate technology into legal reasoning

You cannot teach modern legal competence while removing the primary tools of modern legal work. 🖥️

A laptop is not the problem. Misuse is.

The Enforcement Problem No One Is Talking About

There is also a practical issue. Banning AI is difficult to enforce. Banning laptops is easy.

That does not make it the right policy.

If anything, banning laptops is a workaround for the harder problem of AI enforcement. It is a policy by convenience.

And it raises a deeper concern under ABA Model Rule 5.3 (Responsibilities Regarding Nonlawyer Assistance), which increasingly applies to AI tools. Lawyers—and future lawyers—must learn to supervise and evaluate AI outputs.

You cannot teach supervision by eliminating exposure.

A Better Approach: Controlled Access, Not Prohibition

Law schools should be experimenting with smarter controls instead of blunt bans.

Some possibilities include:

• Disabling Wi-Fi and cellular signals in certain classrooms 📶

• Using locked-down exam or classroom software environments

• Creating AI-permitted and AI-prohibited assignments with clear boundaries

• Requiring disclosure of AI use in coursework

• Teaching prompt engineering and AI verification as part of the curriculum

This approach aligns with ABA Model Rule 1.6 (Confidentiality) as well. Students must learn what data can and cannot be shared with AI systems.

Exposure with guardrails is more effective than prohibition. That principle applies directly to how law schools should approach AI.

Critical Thinking and Technology Are Not Opposites

There is a persistent myth underlying these bans: that technology erodes thinking.

That is not inherently true.

Technology can weaken thinking if it replaces effort. It can strengthen thinking if it supports it.

A student who uses a laptop to organize case law, annotate notes, and refine arguments is not thinking less. They are thinking differently—and often more effectively.

The same will eventually be true of AI.

The goal is not to create lawyers who avoid technology or who think less by using AI. It is to create lawyers who use it wisely. ⚖️

What Law Schools Should Be Teaching Instead

If I were designing a first-year curriculum today, I would include:

THE MODERN LAWYER NEEDS TO KNOW HOW TO BALANCE JUDGMENT WITH AI USE IN THEIR WORK!

• A temporary restriction on AI-generated work

• Mandatory instruction on how AI tools function

• Exercises in verifying AI outputs against primary sources

• Training on ethical risks, including hallucinations and confidentiality

• Continued use of laptops as standard tools

This approach respects both sides of the equation: foundational thinking and technological competence.

Final Thought: Do Not Solve the Wrong Problem

Law schools are right to be concerned. AI is reshaping the profession at a rapid pace.

But banning laptops is not a solution. It is a signal of discomfort.

The better path is harder. It requires nuance. It requires experimentation. It requires trust in students, guided by structure.

Most importantly, it requires recognizing that the future lawyer will not choose between thinking and technology.

They will need both.

And law school is exactly where they should learn how to do that. 🚀

MTC: When Your CEO Asks ChatGPT How to Take Over: Lessons for Lawyers on Public AI, Ethics, and Confidentiality 🧠⚖️

Lawyers need to evaluate public AI chatbot against ABA confidentiality and privilege rules

In March 2026, the Delaware Court of Chancery in Fortis Advisors, LLC v. Krafton, Inc. handed lawyers one of the clearest cautionary tales yet about public AI chatbots, corporate governance, and the limits of “move fast and break things.” A South Korean gaming conglomerate, Krafton Inc., used an artificial intelligence chatbot to help devise an internal “Project X” takeover plan against its own studio, Unknown Worlds Entertainment, and then tried to defend the fallout in court. The result: a detailed opinion reinstating the studio’s CEO, extending a $250 million earnout period, and spotlighting how AI misuse can become Exhibit A when things go wrong.

If you’re a solo, a small-firm lawyer, or an AI‑curious practitioner dabbling with ChatGPT or similar tools, this case is your wake‑up call. The message is not “don’t use AI.” The message is: treat public chatbots the same way you treat email, cloud storage, or texting — through the lens of ABA ethics, client confidentiality, and privilege. 😬

In this editorial, I’ll unpack what happened, how the court framed the misuse of a chatbot, and what you should do in your own practice to stay on the right side of the rules.

The Case in a Nutshell: AI as a Takeover Co‑Pilot

Krafton bought Unknown Worlds — the studio behind Subnautica — for $500 million upfront plus up to $250 million in contingent earnout payments, with a contractually guaranteed structure: the founders and CEO (the “Key Employees”) retained operational control and could only be fired for defined “Cause.”  As Subnautica 2 approached early‑access launch, internal projections showed the game would easily trigger a massive earnout.

The CEO of Krafton grew concerned he looked like a “pushover” under the deal and turned to a public AI chatbot for advice on how to avoid paying the earnout and seize control of the studio. The chatbot’s “response strategy” included:

• Locking down publishing rights and code access.

• Crafting messaging to “secure public support” and undermine the “large corporation vs. indie” narrative.

• Preparing a “takeover” path that blended hardball legal tactics with PR framing. 

Krafton’s internal team implemented much of that plan — cutting off the studio’s access to its Steam publishing console, posting unilateral public statements, and ultimately terminating the founders and CEO on a pretext of “premature release” risk.  When sued, Krafton tried to pivot to new justifications, including the executives’ role changes and their defensive downloads of company data. 

The court was having none of it. Vice Chancellor Will held that:

• The terminations were not “for Cause” under the negotiated contract.

• The “Project X” takeover guided by the chatbot was a pretext to avoid the earnout.

• The studio’s CEO, Ted Gill, must be reinstated with full operational control, and the earnout period equitably extended by the length of his ouster. 

In other words, the AI‑assisted takeover strategy became part of the factual narrative of bad faith and breach — not a clever workaround.

Public Chatbots and ABA Model Rules: Three Pressure Points ⚖️

Attorneys must consider ethical AI chatbot use for confidential client case analysis

Even though this is a corporate earnout case, the opinion gives lawyers a concrete frame for thinking about public AI tools under the ABA Model Rules.

1. Confidentiality — Model Rule 1.6

Rule 1.6 requires lawyers to keep “information relating to the representation of a client” confidential, absent informed consent or a specific exception. Public chatbots are not your firm’s Document Management System (DMS) — they’re third‑party services that typically ingest prompts for training, quality, and logging. When Krafton’s CEO ran “Project X” through a chatbot, he was effectively outsourcing high‑stakes strategy to a non‑privileged third‑party system that could store and learn from those prompts. 

For lawyers, the parallels are obvious:

• Dropping fact patterns, names, or deal structures into a public chatbot can mean you’ve disclosed client information to a non‑controlled vendor.

• Even “sanitized” prompts can be re‑identified when combined with other data.

Under 1.6, that’s a potential confidentiality breach unless you’ve vetted the tool, negotiated appropriate terms (including data handling and retention), and obtained informed client consent for that mode of assistance. Emojis and “it’s just drafting help” don’t change that. 😉

2. Privilege — Model Rules 1.1 and 1.4 (Competence and Communication)

Privilege isn’t framed in the Model Rules, but Rule 1.1 (competence) and 1.4 (communication) require you to understand how your technology choices affect the protection of client communications. When you route strategy discussions through a public chatbot:

• You may jeopardize attorney–client privilege by involving a third‑party with no need‑to‑know and no formal role in the representation.

• You may create discoverable records that live outside your control, just as Krafton’s CEO created chat logs he then tried to delete. 

The court noted that relevant chatbot logs were deleted, which did not play well in evaluating Krafton’s narrative.  Privilege analysis is already complex with cloud tools; adding public AI as a “secret co‑counsel” without protections only compounds that risk. 

Competent use of technology now includes understanding whether your AI stack is preserving or eroding privilege and communicating those risks to clients when you propose AI‑assisted workflows.

3. Candor and Misrepresentation — Model Rule 4.1 and 8.4(c) 🚨

Although this case turns on contractual “Cause” and good faith, the court’s language about “pretextual” justifications and manufactured defenses should resonate with litigators. Model Rule 4.1 prohibits knowingly making false statements of material fact to third parties; Rule 8.4(c) bars conduct involving dishonesty, fraud, deceit, or misrepresentation. 

When you:

• Use a chatbot to generate strategic messaging designed to mislead stakeholders.

• Craft public statements or demand letters that you know are pretextual, but you’ve optimized with AI for tone and impact.

… you’re still responsible for the truthfulness of that content. The court saw through Krafton’s attempt to re‑frame events after the fact, and its internal AI‑assisted playbooks did not help. 

For lawyers, the lesson is simple: AI‑generated output is yours once you sign or speak it. If it’s misleading, you own the ethics problem — not “the algorithm.”

Practical Takeaways for Solo and Small‑Firm Lawyers 🧩

So what do you do if you’re a tech‑savvy lawyer who likes AI, but doesn’t want your prompts quoted in an opinion like this?

Here are grounded, practice‑ready steps.

1. Establish an AI Use Policy

Even if you’re a solo, write down what you will and won’t do with public chatbots.

lawyers need to build practical, ethical AI policies for practice.

• No client names, exact fact patterns, or identifiable deal terms in public tools.

• Use AI for structure and language, not for strategy or confidential analysis.

• Prefer client‑specific, non‑logging enterprise tools when handling sensitive material.

Treat this like you treat your cloud storage or remote‑work policy — it’s part of your competence under Model Rule 1.1 and your supervisory obligations under 5.1/5.3 if you have staff.

2. Separate “Public Prompting” from “Privileged Thinking” 🧠

Use public chatbots for:

• Headline and meta description drafting.

• Blog outlines, post ideas, or simple explainer language for non‑client scenarios.

• Rough templates for standard documents that you will heavily edit.

Avoid using them for:

• Fact‑specific case assessments.

• Litigation strategy, negotiation plans, or internal “playbooks” like Krafton’s “Project X.” 

• Anything that feels like the kind of conversation you’d normally have only with a colleague behind closed doors.

This separation keeps your privileged work product inside tools and workflows you control.

3. Vet Vendors Like You Vet e‑Discovery Platforms

If you move beyond public chatbots to paid AI tools, evaluate them as you would any major legaltech vendor:

• Where is data stored?

• Is training on your material disabled by default?

• Can you get a Business Associate Agreement or Data Processing Agreement / Data Protection Impact Assessment that aligns with your jurisdiction’s expectations?

The ABA’s Formal Opinion 477R on secure communications and cloud ethics opinions from state bars all provide analogies: reasonable steps, not perfection, are required — but “type client memo into random website” is not reasonable. 😄

4. Document Client Consent When AI Is Material to the Representation

If you expect to use AI in a way that materially affects how you deliver legal services, communicate that to clients under Rule 1.4:

• Explain benefits (efficiency, faster drafting).

• Explain risks (data handling, reliability, hallucinations).

• Offer an AI‑free option.

Written engagement terms that address AI use can save hard conversations later if something goes sideways.

5. Revisit Your “Bad Facts” Mindset

Reading this Delaware opinion, you see how internal strategy — including AI‑assisted plotting — can become a litigation exhibit.  For lawyers, that’s an invitation to ask: 

“If this prompt or chatbot conversation showed up in an opinion, would I be comfortable defending it under the Model Rules?”

If the answer is no, don’t send it. That simple heuristic scales across tools and platforms.

What This Case Signals for the Next Wave of Legal Tech 🌊

There can be significant legal consequences for AI chatbot misuse in legal disputes.

The opinion in Fortis Advisors v. Krafton is not an ethics decision aimed at lawyers, but it shows courts will:

• Scrutinize AI‑assisted strategies as part of broader narratives about good faith, bad faith, and pretext.

• Expect parties — and by extension, counsel — to maintain and produce AI‑related records where relevant.

• Be unimpressed by attempts to retroactively justify decisions made for economic reasons with thin “quality” or “readiness” arguments. 

As public models get more powerful and more embedded in practice, ABA Model Rules on competence, confidentiality, supervision, and candor apply just as they did when lawyers moved to email, smartphones, and the cloud. AI is just the next tool — but it’s a tool that makes it very easy to generate sophisticated bad ideas quickly.

Your job is to keep your ethical compass steady, even when the chatbot is very persuasive. 🧭

MTC

How To: What Lawyers Should Factor When They Buy Their Next Computer in the 2026 AI Hardware Crunch 💻⚖️

Lawyers need to plan hardware upgrade to be AI-ready law office setup

If you feel like every new Windows laptop or Mac has jumped a tax bracket this year, you’re not imagining it. Between the AI hardware crunch driving up RAM prices, trade and shipping disruptions (including Suez‑related delays), and ongoing volatility in the stock and component markets, 2026 is a uniquely challenging time to buy a desktop, laptop, or tablet for your practice.

On The Tech-Savvy Lawyer.Page, we’ve been warning for months that this is not a normal refresh cycle: AI data centers are soaking up advanced memory production, leaving law firms to compete for pricier machines on both Windows and Apple platforms. The good news is that you don’t need a gamer’s rig or a data center budget. You do, however, need a plan that’s grounded in how you actually practice law and in your ethical duties under ABA Model Rule 1.1 (competence) and 1.6 (confidentiality).

This guide is an informative roadmap—not legal advice and not a guarantee that you’ll pick the perfect device. It’s designed to help solo practitioners, small-firm lawyers, and AI‑curious professionals make smart, defensible choices in a turbulent market

1. Start with your actual work (not the brochure) 🧠

Before you look at brands or prices, describe your day-to-day work in concrete terms:

✅ How much time do you spend in Word, email, and PDFs versus video hearings or presentations?

✅ Are you using (or planning to use) AI tools for drafting, summarizing, or discovery triage?

✅ Do you run practice management, billing, and research platforms all at once?

In The Tech-Savvy Lawyer blog’s articles covering the AI hardware crunch, e.g., MTC: Why Rising PC and AI Tool Prices (for Windows and Apple) Should Be on Every Lawyer’s Radar in 2026, we’ve emphasized that law practice technology is now a core part of competence, not an optional luxury. Under Model Rule 1.1’s technology comment, you’re expected to keep abreast of “benefits and risks associated with relevant technology,” which in 2026 includes the practical limits of your hardware.

If your current machine labors through simple tasks like three browser windows, your case‑management system, and Zoom, you’re operating below what I call “competence‑grade hardware.” It’s time to upgrade.

2. Pick your form factor: desktop, laptop, or tablet? 🖥️💻📱

Lawyers need to evaluate desktop, laptop, tablet specs to make their own AI efficient law practice.

Your next step is deciding where and how you work:

• Desktop: Best for performance per dollar, ergonomics, and long‑term upgradability. Great for lawyers who spend most of their time at a single desk.

• Laptop: Best for mobility—court, home office, client sites, and travel. This is often the primary machine for solos and small‑firm litigators.

• Tablet/2‑in‑1: Best as a secondary device for hearings, note‑taking, and email triage, not as your main drafting and research tool.

In the December 2025 “hardware hike” editorial and the June 2026 follow‑up on rising PC and AI tool prices, I argued that law firms should treat desktops and laptops on both Windows and Mac as shared infrastructure, not just personal preference devices. Desktops remain easier to upgrade (RAM and storage), which is valuable in an era when AI workloads continually push spec requirements upward.

If you live in court, depositions, or multiple offices, you’ll likely get more value from a well-specced laptop plus an external monitor in your main workspace. If you are primarily office‑bound, a solid desktop plus a lighter laptop or tablet for mobility can provide the best mix of power and flexibility.

3. Understand the key specs in plain English 📊

Here’s how to think about the main specs as a lawyer, not a hardware engineer:

Processor (CPU) — the “brain”

The CPU is the brain of the computer. It determines how smoothly your machine can juggle tasks like Word, Outlook, your practice management system, Zoom, and AI tools. A current‑generation mid‑tier CPU (e.g., Intel i5/i7, AMD Ryzen 5/7, or recent Apple Silicon M4/M5 series) is usually the right balance for most lawyers.

If your computer freezes when you launch a few apps and share your screen in court, that’s a CPU bottleneck. A stronger “brain” improves day‑to‑day responsiveness and helps you stay diligent under Model Rule 1.3—because you’re not waiting for the system every time you need to act.

Memory (RAM) — your working desk

Lawyers need to discuss RAM, SSD, display specs for 2026 hardware crunch.

RAM is short‑term working memory—the size of the “desk” where the computer lays out everything it’s actively using.

• More RAM = more programs and browser tabs open without slowdowns.

• Too little RAM forces the system to shuffle data in and out of storage constantly, which feels like lag or “thinking hard” before every click.

In 2026, with heavier browsers, AI tools, and richer web apps, 16 GB of RAM is a realistic minimum for a primary practice machine. Eight gigabytes now belong in the “secondary machine” category—fine for occasional tasks but not ideal for your main law office computer. * Although if you are going to use your secondary machine to run some AI bots in the background, you’ll want more than 16 GB of RAM.

(Internal) Storage (SSD size) — your filing cabinet

Storage is the long‑term filing cabinet: the space for all documents, scanned PDFs, discovery data, email archives, and applications. Modern machines use SSDs (solid‑state drives), which are much faster than old spinning drives.

For a typical solo or small firm, I recommend:

• 512 GB SSD as a baseline if most of your documents live in the cloud but you keep active matter files locally.

• 1 TB SSD if you regularly work with large discovery productions, video, or heavy local archives.

This sizing meshes well with ethical guidance on backups and redundancy: sufficient local storage makes it easier to maintain secure copies of critical matter files as part of your broader tech and risk strategy.

💡 Tip: If you don’t need to keep old client files, e.g., former clients/closed cases, then you may want to move them off the main computer’s internal drive and store them on an external drive to free up room.  Just make sure you have copies or backups of these files.

Display resolution — why 1920×1080 is your baseline

Resolution describes how many pixels, or tiny dots, make up your screen image. The common 1920×1080 figure means:

• 1920 pixels across (horizontal)

• 1080 pixels down (vertical)

This is known as Full HD (1080p) and sits near what marketing folks call “2K” because it’s close to 2,000 pixels across.

Rough mapping:

• “1K” – not a formal standard, sometimes used loosely for older, lower resolutions around 1,000 pixels wide.

• 1080p / Full HD (1920×1080) – effectively in the 2K family; a very solid baseline for legal work.

• 2K/QHD (around 2560×1440) – more pixels, sharper image, and more on‑screen workspace.

• 4K/UHD (3840×2160) – roughly four times the total pixels of 1080p; extremely detailed but can make text small unless scaled up.

For most lawyers, 1920×1080 on a 24–27″ monitor is the sweet spot: it offers clear text, plenty of room for side‑by‑side documents and doesn’t create scaling headaches. Higher resolutions are great if you’re comfortable tweaking font and scaling settings, but they’re not mandatory for competent practice.

DPI/PPI — why it matters if you read all day

Lawyers read—constantly. DPI (dots per inch) and PPI (pixels per inch) measure how densely those pixels are packed on the screen.

Lawyers need to consider cpu, RAM, SSD, display specs and budge during the 2026 hardware crunch.

• Higher PPI/DPI = sharper text and smoother lines, like reading a casebook with crisp printing.

• Lower PPI/DPI = slightly jagged or fuzzy edges at small sizes, more like reading a faded photocopy.

If you spend long days in cases, statutes, and contracts, a display with good resolution and decent PPI reduces eye strain and fatigue. This is not just comfort—it supports sustained competence and productivity, which tie directly into your ethical duties to represent clients diligently and effectively under Rules 1.1 and 1.3.

4. Budget with the AI hardware crunch in mind 💸

On The Tech-Savvy Lawyer.Page, we’ve discussed computer hardware price increases of roughly 15–20% for 2026 PCs and laptops, with memory costs as the biggest driver. AI data centers, tariffs, and supply disruptions all contribute to higher prices and fewer “bargain” mid‑range machines.

Practical guidance:

• For a primary practice machine, aim for mid‑ to upper‑mid‑range pricing that delivers competence‑grade specs (CPU, 16 GB RAM, SSD, Full HD or better display).

• Don’t sacrifice baseline hardware just to keep optional subscriptions—cut redundant SaaS and AI tools before you under‑spec your main computer.

Treat this as part of your technology competence plan. A documented decision process that ties hardware specs to ABA Model Rules 1.1 and 1.6 (including security features like encryption and secure boot) shows you approached your choice thoughtfully.

Power Tip 💡: I’m going to share something that may not be popular with the cost-conscious – buy more than you need.  My rule of thumb has been to buy 2x as much as you need.  For example, if you know your firm’s files, applications, and operating system will take up 1 TB of hard drive space, get 2 TB.  If you know that your system and programs can run comfortably on 16 GB of RAM, get 32 GB.  You always want your machines to be humming along.  You don’t want to be struggling to the finish line when you're only halfway through your computer’s planned lifecycle!

5. Mobility vs. sedentary practice 🚶‍♂️🪑

Your mobility profile should guide not just form factor, but accessories and support:

• Mostly in one office – prioritize a robust desktop, ergonomic monitor(s), and reliable backup plus a modest laptop or tablet for remote hearings.

• Highly mobile – invest in a competence‑grade laptop with docking at your main location, plus secure remote access tools.

On The Tech-Savvy Lawyer podcast and blog, we’ve repeatedly seen that “half‑mobile” lawyers—those who sometimes work elsewhere but own only a weak travel machine—are the ones who struggle most under pressure. Mobility is not just where the computer sits; it’s whether you can work securely and effectively wherever the case takes you.

Model Rules 1.6 and 5.3 also mean you must consider how you’ll protect client data in transit: encryption, password managers, secure Wi‑Fi practices, and coordinated policies with staff and vendors.

6. Longevity and lifecycle ⏳

don’t be that lawyer, upgrade your outdated desktop to competence-grade workstation specs.

Finally, we need to talk about lifecycle, not just purchase price. In recent Tech-Savvy Lawyer pieces, I’ve recommended a 3–5 year refresh cycle for primary laptops and desktops, adjusted for OS support timelines and security commitments.

For solos and small firms:

• Buy machines that can reasonably support your core stack (PM, billing, research, AI tools) for at least 3–5 years.

• Document your refresh policy so you’re not reacting only when something fails.

• Treat hardware upgrades as part of your ethics and risk‑management plan, not just overhead.

In a volatile market, longevity is your hedge. A slightly higher upfront spend on competence‑grade hardware is often cheaper than cycling through underpowered machines every two years—and far better for your sanity and your clients. 😊

PS: It's ok to buy a new computer a little before your old one wears out; please, your old computer may serve as an emergency backup!

🎙️ Shout Out: 250 Episodes, An Apple Roundup Shout-Out, and Why Android-to-iPhone File Sharing Just Became Every Lawyer's Business

There are weeks in the legal technology calendar that just feel good—and this past week was one of them. ⚖️ Two things landed almost simultaneously, and I want to take a moment to celebrate both properly right here on The Tech-Savvy Lawyer.Page.

Jeff Richardson and Brett Burney celebrate 250 Apple podcast episodes.

First, a genuine, enthusiastic congratulations to Jeff Richardson of iPhone J.D. and Brett Burney of Apps in Law on recording their 250th episode of the In the News podcast. 🎉 If you're not familiar with In the News, here's what you need to know: it is a weekly deep-dive into the Apple universe—iPhones, iPads, Macs, Apple Watch, Vision Pro, iOS updates, app releases, and everything in between. Jeff and Brett, both previous podcast guests, approach it as dedicated Apple enthusiasts who also happen to practice law, which gives the show a grounded, practical quality that pure consumer tech coverage rarely achieves. Two hundred and fifty episodes of consistent, high-quality Apple coverage is a remarkable achievement, full stop. 🏔️

And if you watched the video version of Episode 250, you caught Jeff broadcasting from the breathtaking backdrop of The Broadmoor resort in Colorado—where Jeff's firm, Adams & Reese, was celebrating its own 75th anniversary. That kind of serendipity makes a milestone feel even more earned. Subscribe at inthenewspodcast.com—you will not regret it. 🎧

Attorney can use Google Quick Share to bridge iPhone and Android.

Second, in that same week's In the News roundup post, Jeff included a mention of The Tech-Savvy Lawyer.Page—specifically, our article "How to Use Google's 'AirDrop for Android' (Quick Share) in Your Law Practice." 📲 Jeff's write-up of the week covered everything from Apple's sweeping price increases to iOS 27's five incoming apps to why watching Avatar: Fire and Ash on a Vision Pro on a plane might be the best movie experience currently available to humans. It was, in other words, a quintessentially iPhone J.D. roundup—Apple news, clearly explained, with a sharp eye for what actually matters to readers who live in the Apple ecosystem.

And right there, in that roundup, was a single bullet: "Michael D.J. Eisenberg of The Tech Savvy Lawyer explains how Android devices can now more easily use AirDrop to share files with iPhones." 🙌

That sentence is, on the surface, a consumer Apple tech note—and that's exactly what it should be. Jeff covers it because it is genuinely interesting Apple/mobile news for anyone who carries an iPhone. But for attorneys, the implications go considerably further.

Why This Matters Beyond the Apple Ecosystem 💼

Google expanded Quick Share—its answer to AirDrop—to work directly with Apple's AirDrop across Samsung Galaxy, Google Pixel, and a growing list of flagship Android devices . The transfer happens peer-to-peer: no server routing, no cloud intermediary, no data passing through Google's or Apple's infrastructure. ⚡ For an iPhone-carrying attorney receiving a document from an Android-using co-counsel, paralegal, or client, this is a genuine workflow upgrade.

ABA Model Rules 1.1, 1.6, 5.3 guard lawyer confidentiality.

But it also raises questions that an Apple commentator doesn't need to answer—and that we do. Under ABA Model Rule 1.6 (Confidentiality of Information), the peer-to-peer architecture of Quick Share is actually a feature, not just a convenience: files don't transit external servers, which helps satisfy the "reasonable efforts" standard to prevent unauthorized disclosure of client data. Under ABA Model Rule 1.1 (Competence) and its Comment 8, understanding how a file transfer mechanism works—and whether your firm's use of it is appropriate—is part of your professional obligation, not optional continuing education. And under ABA Model Rule 5.3 (Responsibilities Regarding Nonlawyer Assistance), if your staff are using personal Android devices to share files with iPhone-toting colleagues, you need a written BYOD policy that addresses it. ✅

Our article walks through all of this—device compatibility, step-by-step setup, a five-step firm rollout checklist, and a plain-language BYOD policy framework—so that you can implement this capability confidently and in full compliance with your professional responsibilities . And for a visual walkthrough, our TSL.P Labs Video Presentation: Google Quick Share for Lawyers covers every step in a tactical, ethics-first format . 🎥

The Bigger Picture 🌐

What I appreciate most about getting a mention from iPhone J.D. is the nature of what Jeff's blog is. It is an Apple resource—meticulous, reliable, enthusiast-grade Apple coverage, written by someone who genuinely loves this technology and reads everything. When a piece from The Tech-Savvy Lawyer.Page earns a bullet in Jeff's roundup, it is because the article has something genuinely useful to say about the Apple ecosystem. That is a standard I aim for every time I sit down to write. 📡

So, congratulations to Jeff and Brett on 250 episodes of excellent Apple coverage! And if our Quick Share guide gave even one attorney a smoother courthouse-steps file transfer—or a stronger confidentiality argument—then it earned its mention. 🥂

MTC: Perplexity for Legal vs. Lexis, Westlaw, and vLex Fastcase: What Today's Lawyers Need to Know About Reliability, Cost, and Ethics

Tech-savvy lawyers need to HARNESs AI legal research tools!

If you practice law in 2026 and you're even mildly AI‑curious, you've probably seen the recent announcement of Perplexity for Legal, Perplexity's enterprise offering designed specifically for law firms and legal teams. 🧠 Now the field is more crowded than ever: Lexis+ AI/Protege, Westlaw Edge/Precision, and vLex Fastcase with Vincent AI are all vying for a place in your workflow—and Perplexity is asking a provocative new question: do you even need the legacy companies anymore? For solo and small‑to‑medium firm practitioners, the real question is simple. How does each of these platforms serve you in daily practice, and how do you choose responsibly?

What Perplexity for Legal Actually Offers

Perplexity's legal-focused enterprise product is built around its core strengths: fast, cited answers, deep multi‑source research, and the ability to connect to your firm's internal knowledge bases. You ask a question, see sources inline, and move from a synthesized answer directly into primary authority—or into firm work product—without hopping across multiple systems.

Highlighted use cases include:

• Staying current on legal developments across jurisdictions in real time.

• Generating client‑ready research memos faster.

• Drafting pitch materials and Request for Proposal responses by pulling context from internal documents.

Firms like Gunderson Dettmer report using Perplexity Enterprise to scale legal research on rapidly evolving topics such as emerging company financings and technology transactions. 🚀 Latham & Watkins uses it for market intelligence and tactical research. For solos and small firms, the benefit is more pragmatic: less time wrestling with search syntax, more time actually thinking like a lawyer.

If you're a regular reader and listener of The Tech-Savvy Lawyer.Page blog and podcast, we discuss this type of workflow can enhance your firm's productivity effectively and safely.

Meet the Field: Lexis, Westlaw, and vLex Fastcase

Before we stack Perplexity against the competition, it helps to understand what each incumbent actually is today—because the landscape has shifted considerably.

Lexis+ AI layers generative AI on top of LexisNexis's curated legal content and the powerful Shepard's citator. Its AI features are bundled into subscriptions that can run from the low hundreds to several hundred dollars per user per month, depending on coverage tier. Pricing is often opaque and driven by long-term contract negotiation rather than transparent published rates—a persistent frustration for small firms.

Westlaw Edge/Precision integrates Thomson Reuters' generative AI capabilities directly into the Westlaw research ecosystem, pairing them with KeyCite and deep editorial enhancements. Like Lexis, its pricing sits at the premium end of the market, and it is best suited for firms that already rely heavily on Westlaw's proprietary citator and editorial content.

vLex Fastcase is the most democratically accessible of the three. After Fastcase merged with vLex in 2023 and vLex was subsequently acquired by Clio, the combined platform now serves over one million lawyers nationwide through partnerships with 80+ state, county, and specialty bar associations—often as a free member benefit. At the heart of its AI offering is Vincent, vLex's AI legal assistant, which handles research, drafting, document analysis, and customizable workflows through a feature called Vincent Studio for enterprise teams. The platform's Cert citator flags negative treatment and authority, replacing the older Bad Law Bot, while AI Case Analysis generates automated headnotes and summaries. For many solos and small-firm practitioners, vLex Fastcase is effectively free through their bar membership—making it arguably the highest-value entry point in the market.

If you are a member of the Florida Bar, California Lawyers Association, Illinois State Bar, or any of the dozens of other partnered associations, you likely already have access to vLex Fastcase Premium (a $995/year value) at no additional charge.

Reliability: Can You Trust These Platforms for Legal Research?

today’s lawyers need to evaluate AI legal platforms, pricing, and ethics.

Reliability is the first concern I hear from lawyers when AI enters the conversation—something we cover on The Tech-Savvy Lawyer.Page. No AI platform is infallible, but they fail in different ways.

Lexis+ AI and Westlaw AI answer from within their proprietary, editorially curated databases. Their hallucination risk is constrained by the quality of their content backbones, but they can still misinterpret authority, overgeneralize from a line of cases, or overlook nuances between jurisdictions.

vLex Fastcase/Vincent answers from vLex's global legal database—over one billion searchable documents across 100+ countries—supplemented by its AI‑powered analysis layer. Vincent has performed strongly in independent AI benchmarking, including the Vals Legal AI Report and a comparative AI evaluation by law librarians. Its Cert citator provides direct verification, making it more trustworthy for authority checking than pure generative systems.

Perplexity for Legal draws from a broad web‑scale index plus any internal data you connect through the enterprise deployment. Its core reliability strength is the inline citation on virtually every statement—you can trace each claim back to a source immediately. Its Deep Research feature structures multi‑step investigations into organized reports with full sourcing. The honest limitation: Perplexity does not have a built-in citator or a curated legal content backbone like KeyCite or Cert. For final authority verification, you still need to confirm via Westlaw, Lexis, vLex Fastcase's Cert, or a reliable citator—no exceptions.

For all four platforms, the universal rule applies: AI answers are drafts, not final work product. Read the cases. Check the citations. Verify the authority. 📋

Ethics: ABA Model Rules and AI Research

Using any AI tool in legal practice implicates several ABA Model Rules, and the analysis is the same whether you use Perplexity, Lexis+ AI, Westlaw, or vLex Fastcase:

Rule 1.1 (Competence). Comment 8 requires lawyers to understand the benefits and risks of relevant technology. This means knowing how each tool generates its answers, where it can fail, and how to verify its output. You cannot delegate judgment to any AI—Perplexity, Vincent, or otherwise.

Rule 1.6 (Confidentiality). Enterprise deployments of Perplexity are designed to isolate firm data and not train public models on your inputs. vLex Fastcase, operating within the Clio ecosystem, also maintains firm-level data controls. Regardless of which platform you use, you must confirm the contractual and technical safeguards before loading confidential client information. Never use a consumer-grade tool without verified protections.

Rule 5.3 (Responsibilities Regarding Non-Lawyer Assistance). AI is, functionally, a non-lawyer assistant. You must supervise its use, review its output, and ensure that the work product it generates meets your professional obligations. Vincent Studio's custom workflows are an interesting development in this regard—they allow firms to embed review and compliance steps directly into AI workflows, which supports Rule 5.3 compliance by design.

Rule 1.4 (Communication). If AI tools materially change how you handle matters—especially in flat-fee engagements—consider whether to disclose that to clients. Doing so can build trust and align expectations.

These obligations are vendor‑agnostic. The ABA Model Rules care about your conduct, not your software logo. ⚖️

💰 Cost and Access: The Solo and Small‑Firm Reality

For solos and small‑to‑medium firms, cost is where decisions often get made. A realistic comparison in 2026 looks like this:

• Lexis+ AI: Bundled AI features run roughly $125–$275 per user per month at the low to mid-tier; enterprise tiers go significantly higher. Opaque pricing and long-term contracts are common complaints.

• Westlaw Edge/Precision: Premium pricing in the hundreds of dollars per month per user, with AI features integrated at the top tiers. Best suited for firms already embedded in the Westlaw ecosystem.

• vLex Fastcase: Free to bar association members for the core plan, with a retail value around $995 per year. Vincent AI premium features (50-state surveys, drafting tools) require a paid upgrade, but bar members often get discounted access. For many solos, this is already sitting in their inbox—they just haven't activated it.

• Perplexity for Legal (Enterprise): Enterprise pricing is generally more transparent and leaner than full Lexis/Westlaw stacks. Exact per-seat pricing varies by deployment, but it is positioned as an accessible AI layer rather than an all-in-one legal publisher.
  
  💡 Tip: Solos and Small Firms, check out if the Enterprise Pro plan meets you needs - Perplexity Enterprise Pro runs a fraction of the cost of Lexis+ AI or Westlaw Precision—platforms that can run $125–$275 per user per month or more—making it one of the most cost-competitive AI research tools available to solo and small-firm practitioners today.

The practical calculus for solos and small firms:

• If you already have Lexis or Westlaw, Perplexity can complement them for early-stage research, cross-domain intelligence, and drafting.

• If you have vLex Fastcase through your bar, you already have a solid free primary law backbone with built-in AI. Pairing that with Perplexity Enterprise gives you AI synthesis capabilities across web-scale sources at a potentially lower total cost than upgrading to premium Lexis or Westlaw AI tiers.

• If you are starting from scratch, the vLex Fastcase bar benefit plus a Perplexity Enterprise subscription may deliver more value per dollar than any single legacy vendor stack. 💸

That is not a recommendation to ditch Lexis or Westlaw wholesale—their curated content and citator infrastructure remain industry benchmarks. It is a recommendation to audit what you actually use and design a deliberate stack around it.

A Practical Framework for Choosing and Using These Tools

tech-savvy lawyers need to compare modern ai- vs legacy- legal research tools.

• Keep Lexis/Westlaw if you heavily use KeyCite/Shepard's, proprietary treatises, or sophisticated editorial enhancements.

• Activate vLex Fastcase through your bar if you haven't already—it's free for most practitioners and now includes genuine AI capabilities via Vincent.

• Use Perplexity for Legal for early-stage issue spotting, multi-jurisdiction surveys, cross-domain research, and AI-assisted first drafts of memos and correspondence.

• Anchor everything in the ABA Model Rules:

  • Competence: know how each tool works and where it fails.

  • Confidentiality: enterprise deployments only, with verified data protections.

  • Supervision: treat all AI output as a first draft to be reviewed and verified.

• Write an internal AI use policy specifying which tools are authorized, for which tasks, and how outputs are verified and documented.

The question is never "Which one wins?" It's "How do I build a balanced, ethical, cost-conscious research stack that serves my clients well?" That's what it means to be a truly tech-savvy lawyer. 💼

BOLO: Rokarolla Android Banking Malware Is Hunting Lawyers’ Phones—and Your Trust Accounts

A Tech-savvy lawyer needs to shield client banking data from Android malware attack.

If you use an Android phone for client communications or online banking, it’s time to treat Rokarolla as a real and present danger—not as abstract “security news.” 🚨 This newly uncovered Android malware can silently take over your device, steal your banking logins, and hijack your screen to trick you into handing it the keys to your operating and trust accounts.

Rokarolla is a banking Trojan that abuses Android’s accessibility services and screen overlay capabilities to place fake login pages on top of your legitimate banking apps. The malware is distributed mainly through malicious websites that push users to download “free” or “updated” apps outside the Google Play Store—classic sideloading traps. Once on your phone, Rokarolla can read what’s on your screen, simulate taps, and siphon off your credentials, all while you think you’re securely logging in.

For solo and small‑firm lawyers who often use one device for everything—email, texting, banking, client portals—the risk is amplified. If Rokarolla compromises the phone you use for trust-account access or client billing, your exposure isn’t just financial. It’s ethical. Under ABA Model Rule 1.1, competence today includes understanding the “benefits and risks associated with relevant technology.” Failing to take basic steps to prevent a known mobile banking threat can be viewed as a failure to exercise reasonable competence in safeguarding client property and information.

Rokarolla’s core move is deceptively simple. After infection, it requests broad accessibility permissions. If granted, it can:

Solo attorney need to confront malicious Android apps threatening law firm finances.

• Observe what appears on your screen, including banking and financial apps.

• Capture input events such as taps, swipes, and text entry.

• Draw fake overlays that look like your bank’s login page, convincing you to “re‑authenticate.”

When you type your username, password, or two‑factor codes into this fake screen, Rokarolla sends that data back to its operators, who can then access your real accounts. For a law firm, that could mean unauthorized wire transfers from your trust account, tampering with payroll, or manipulating client refunds—exactly the sort of nightmare that triggers ethics complaints and malpractice claims. 😬

Under ABA Model Rule 1.6, you have an affirmative duty to protect client confidentiality. Client financial data, settlement funds, and trust balances accessed via mobile banking apps fall squarely within that obligation. Using an Android device that you know—or should know—is vulnerable to current banking malware without implementing countermeasures may be viewed as a failure to “make reasonable efforts” to prevent unauthorized access. Integrating mobile security into your practice isn’t optional risk management. It’s part of your professional duty of care.

So what should you do—today—to stay ahead of Rokarolla and similar Android banking Trojans?

1. Stop sideloading apps. Only install apps from the Google Play Store and avoid downloading Android Package Kits from websites, emails, or messaging apps, no matter how “official” they look.

2. Scrutinize permissions. When any app asks for accessibility or overlay permissions (for example, “display over other apps”), treat that as a red flag unless you fully understand why it’s needed.

3. Use a reputable mobile security app. Tools like Malwarebytes for Android can detect and remove many known banking Trojans, including emerging families similar to Rokarolla.

4. Enable strong multi‑factor authentication (MFA). Use app‑based authenticators instead of SMS codes when possible, and never share MFA codes with anyone who contacts you “from the bank.”

5. Segregate devices for sensitive banking. Consider using a dedicated, locked‑down phone or tablet for trust‑account access and keep that device free of social media, gaming, and experimental apps.

6. Train your team. Under ABA Model Rule 5.1 and 5.3, supervising attorneys must ensure that staff and nonlawyer assistants follow security policies. Make Android banking security part of your standard onboarding and training.

Law firm teams need to review Android security checklist to protect trust accounts.

These steps are not extreme. They are the mobile equivalent of locking your office door and using a shredder. They also help you satisfy your duty of reasonable cybersecurity under ethics opinions like ABA Formal Opinion 477R, which emphasizes the need to match your security practices to the sensitivity of client information. When the stakes involve trust accounts, settlement funds, or client escrow, anything less than actively defending your mobile banking environment is inadequate.

The bottom line: treat your Android device as a first‑class part of your practice infrastructure. Rokarolla and its cousins are designed to exploit lawyers who assume their phones are “personal” and therefore outside the security conversation. As a tech‑savvy lawyer, you know better. Your ethics obligations follow your data wherever it goes—including into your pocket.

Stay Safe Out There!

🎙️ Ep. 139, From MyCase to Claude: Building a Secure, AI-Ready Tech Stack for Solo and Small Law Firms.

My next guests are Gabriela “Gabby” Cubeiro, Senior Vice President of Product at 8am — the powerhouse behind MyCase, LawPay, CASEpeer, and DocketWise — and Majo Castro, founder and managing attorney at CastroMand Legal in Austin, Texas. 🌟 Gabby is a 16-year legal tech veteran who co-founded CASEpeer and now drives product strategy across one of the most widely adopted law practice management platforms in the country. Majo is a Venezuelan-born cybersecurity and AI attorney whose solo firm helps growing companies navigate AI implementation, data management, and cybersecurity — and she writes about all of it on her Substack, The Cyber Law Gal. 🛡️ This is a no-fluff, peer-to-peer conversation about the exact workflows that separate a modern LPM from a liability, why the Data Processing Agreement is the most important acronym in your practice right now, and what your employees are almost certainly already doing with AI — whether you've approved it or not.

Join Gabriela “Gabby” Cubeiro, Majo Castro, and me as we discuss the following three questions and more!

1. What are the top three integrations or workflows a solo, small, or midsize firm should expect from a modern cloud-based LPM platform like 8am — and what's missing that signals a real red flag around efficiency, cash flow, or security?

2. As AI gets baked into cloud LPM tools like 8am, what are the top three day-to-day tasks that will change most for solo and small firm lawyers — and what basic security or ethical guardrails should they put in place to use those AI features without putting client data at risk?

3. For solo and small firms without a CISO or CTO, what are the top three cybersecurity mistakes you see over and over again?

In our conversation, we cover the following:

• [00:00:00] 🪝 Show Hook — Gabby's critical warning: if your firm hasn't "adopted" AI, your employees probably already have — on free consumer tools

• [00:00:00] Title read — Episode 139

• [00:01:00] Host intro: why this conversation goes tactical on AI, security, and LPM workflows

• [00:02:00] Guest introductions — Gabriela “Gabby” Cubeiro (8am/MyCase) and Majo Castro (CastroMand Legal / The Cyber Law Gal)

• [00:03:00] Majo celebrates 1.5 years as a solo practitioner 🎉

• [00:03:00] Ad: Five-star review request for The Tech-Savvy Lawyer.Page

• [00:03:30] Tech setups — Gabby's MacBook Air (M4 chip), iPhone Max, Slack, Zoom, Google Drive, Claude Enterprise

• [00:06:00] Gabby's portable USB-C external monitor for travel (Amazon, highest-rated)

• [00:09:00] Majo's MacBook Pro 14" M4 (16GB RAM), performance issues, upgrade path discussion

• [00:10:00] Michael recommends Onyx (free Mac maintenance utility); Michael's Mac Studio M3 Ultra with 256GB

• [00:11:00] Mac Mini and Mac Studio as desktop alternatives; MacRumors Buyer's Guide tip

• [00:13:00] Apple Business Account benefits — small discounts + white-glove service

• [00:15:00] Majo's full setup: iPhone 16 Pro Max, Google Workspace + Gemini (team account with DPA), DJI Osmo Pocket 3, Hollyland wireless mic

• [00:16:00] Q1: Top three LPM workflows — intake, secure client communication (client portal), and getting paid (trust accounting + automated invoicing)

• [00:19:00] Majo on switching from QuickBooks to MyCase after discovering QuickBooks mishandles trust accounting

• [00:20:00] 🎉 Gabby announces: AI case summary features are now LIVE in 8am/MyCase

• [00:21:00] Cloud vs. local access debate — SaaS uptime, SLAs, and asking vendors for proof

• [00:23:00] Michael's redundant backup strategy: Backblaze + Dropbox + local Mac Mini

• [00:25:00] Cautionary tale: ransomware attack converts a server-based firm to the cloud overnight

• [00:28:00] Majo's Google Drive third-party backup with 2-hour recovery window

• [00:29:00] Q2: How AI changes daily workflows — drafting, case summaries, surfacing critical info fast

• [00:30:00] Why reading vendor Terms of Service and activating Data Processing Agreements (DPAs) is non-negotiable

• [00:31:00] 8am's SOC 2 Type 2 compliance; updated AI terms and opt-in controls coming

• [00:32:00] SOC 2, HIPAA, end-to-end encryption as baseline vendor security requirements

• [00:34:00] AI as the great equalizer — leveling the playing field for solo firms vs. BigLaw

• [00:35:00] Majo's real data: ~12 hours saved last month across 27 consultations using Gemini for proposals

• [00:36:00] Plaud and Pocket AI recording devices — data retention, PII, and DPA concerns

• [00:37:00] Majo's stance on wearable AI recorders; Apple Watch comparison; one-party vs. two-party consent

• [00:39:00] Plaud's terms say no AI training — but it's not a DPA; terms can change without notice 🚨

• [00:40:00] Google Workspace DPA must be manually activated — most users don't know; creating user friction around protection

• [00:41:00] Q3: Top cybersecurity mistakes — shadow AI, no MFA, undertrained employees

• [00:42:00] Majo's checklist: DPA + no model training on client data + enterprise/team-tier subscriptions + MFA

• [00:43:00] Gabby: employees are the #1 security risk; fractional IT and CISO options for small firms

• [00:44:00] AI-powered phishing attacks on law firms will only intensify

• [00:45:00] Majo's training method: positive AI policies + 45-second staff video explainers 🎬

• [00:46:00] 🚨 Gabby's shadow AI reminder (Show Hook callback): audit your tech stack — your team already has

• [00:47:00] Episode originally recorded at ABA Techshow; re-recorded after a technical snafu 😅

• [00:47:00] Where to find Gabby: LinkedIn, X, 8am.com, Kaleidoscope conference (September — banner at 8am.com)

• [00:48:00] Where to find Majo: LinkedIn (Majo Castro), CastroMand Legal, Substack: The Cyber Law Gal

• [00:48:30] Outro — michaeldj@thetechsavvylawyer.page | next episode in ~two weeks

RESOURCES

Connect with Gabriela “Gabby” Cubeiro

• LinkedIn: https://www.linkedin.com/in/gabriela-cubeiro/

Connect with Majo Castro

• CastroMand Legal (Austin, TX): https://www.castrolandlegal.com/

• The Cyber Law Gal Substack: https://www.linkedin.com/in/majocastro/ 

• LinkedIn: https://www.linkedin.com/in/majocastro/

Mentioned in the Episode

• ABA Techshow — https://www.techshow.com/

• Apple Business Account — https://www.apple.com/business/

• Apple Trade-In Program — https://www.apple.com/shop/trade-in

• Model Rules 1.1, Comment 8 — https://www.thetechsavvylawyer.page/search?q=comment%208

• MacRumors Buyer's Guide — https://buyersguide.macrumors.com

Hardware Mentioned

• 8am.com — https://www.8am.com

• Apple iPad — https://www.apple.com/ipad/

• Apple iPhone 16 Pro Max — https://www.apple.com/iphone-16-pro/

• Apple iPhone Max — https://www.apple.com/iphone/

• Apple Mac Mini — https://www.apple.com/mac-mini/

• Apple Mac Studio — https://www.apple.com/mac-studio/

• Apple MacBook Air — https://www.apple.com/macbook-air/

• Apple MacBook Pro 14 — https://www.apple.com/macbook-pro/

• Apple Watch — https://www.apple.com/apple-watch/

• Backblaze — https://www.backblaze.com

• CASEpeer — https://www.casepeer.com

• ChatGPT (OpenAI, Enterprise referenced) — https://chat.openai.com

• Claude (Anthropic, Enterprise) — https://www.anthropic.com/claude

• DJI Osmo Pocket 3 — https://www.dji.com/osmo-pocket-3

• DocketWise — https://www.docketwise.com

• Dropbox — https://www.dropbox.com

• Google Drive — https://drive.google.com

• Google Workspace + Gemini — https://workspace.google.com

• Hollyland wireless mic — https://www.hollyland-tech.com

• LawPay — https://www.lawpay.com

• MyCase — https://www.mycase.com

• Onyx (free, Mac) — https://www.titanium-software.fr/en/onyx.html

• Plaud AI recorder — https://www.plaud.ai

• Pocket AI recorder — https://heypocket.com/pages/

• QuickBooks (referenced as insufficient for trust accounting) — https://www.quickbooks.intuit.com

• Slack — https://www.slack.com

• Zoom — https://www.zoom.us

MTC: Why Rising PC and AI Tool Prices (for Windows and Apple) Should Be on Every Lawyer’s Radar in 2026

Law firms need to plan Windows, Mac, and AI refresh strategy

If you feel like every new laptop quote is 15–20% higher than last year, you are not imagining things. 📈 And if your favorite AI drafting or transcript tool pinged you with a “small” price adjustment this spring, welcome to the club. 🤖

In our December 2025 editorial, “MTC: The 2026 Hardware Hike: Why Law Firms Must Budget for the ‘AI Squeeze’ Now!”, we warned that a perfect storm in the hardware market was forming: DRAM shortages, surging AI infrastructure demand, and shifting trade policy were about to push PC prices up by 15–20% in 2026. 💻 Then, in April 2026’s “MTC: Why 2026’s PC Price Hikes Put Law Firms at Risk (and Why Many Lawyers Are Quietly Switching to Macs)”, we explored how rising Windows laptop prices were reshaping law firm hardware decisions and eroding the old assumption that “Windows is always cheaper than Mac.”

Those forecasts are now reality across both Windows PCs and Macs, and the question I keep hearing from solo and small firm lawyers is simple: Should I be worried?

The short answer is yes—concerned, not paralyzed. The better question is: how do we respond strategically, in a way that respects both our budgets and our ethical obligations under ABA Model Rules 1.1 (Competence) and 1.6 (Confidentiality)?

A quick recap: what’s driving the price surge?

Let’s start with the “why,” because context matters when you sit down with your next-year budget spreadsheet. 📊

Industry analysts now confirm that average PC prices are rising in the 15–20% range for 2026, with memory costs as the biggest driver. AI data centers—those massive server farms powering tools like ChatGPT and other LLMs—are soaking up an estimated majority of advanced DRAM production, leaving less capacity for business laptops and desktops of all flavors, whether they run Windows or macOS. When memory becomes scarce and expensive, everything that relies on it gets pricier.

You can see this in both ecosystems:

Lawyers need t plan their 2026 law firm hardware budget amid rising costs

• Windows side: In April, Microsoft sharply raised prices across its Surface lineup, including the Surface Pro and Surface Laptop families, many lawyers rely on. Entry-level machines that once started under 1,000 dollars now begin well above that mark, with some configurations jumping several hundred dollars over launch prices and in some cases exceeding roughly comparable MacBook configurations.

• Apple side: In June, Apple CEO Tim Cook told The Wall Street Journal that Apple will raise prices because the company can no longer absorb skyrocketing memory and storage costs, calling the situation a “hundred-year flood” and saying he has “never seen anything like it in any area in over 40 years,” describing these increases as “unavoidable.” Apple to Raise Prices Due to Memory Chip Crunch, Tim Cook Says.

When both Microsoft and Apple are telling you that memory costs and component shortages are forcing them to push prices up, that is not a platform rivalry story. It is a signal that the entire hardware market—Windows and Mac alike—is being repriced around the AI era.

On top of that, trade policy and tariffs have increased costs for components and final assembly in key manufacturing hubs like China and Taiwan. Vendors have responded by tightening quote windows and baking in risk premiums, which is why the Windows laptop or Mac you priced in Q4 2025 quietly jumped in Q2 2026. 💸

In “MTC: The 2026 Hardware Hike”, we urged firms to accelerate planned refreshes where possible, prioritize RAM over storage, and budget for stronger machines instead of downgrading specs. In the April 2026 editorial, we drilled into how those same forces made some Mac configurations look surprisingly competitive—and why lawyers should stop treating “Windows versus Mac” as a matter of habit and start treating it as a structured evaluation tied to performance, security, and ethical duties. All of that guidance still holds.

Budgeting like a law practice, not a gadget hobby (PC‑neutral framing)

The theme of “MTC: The 2026 Hardware Hike” was simple: treat your tech like a planned, recurring investment—not a last-minute scramble when a laptop dies in the middle of trial prep. The April 2026 follow-up on PC price hikes showed how that planning must now account for both Windows and Mac options, since price gaps have narrowed or flipped depending on configuration.

Here is the approach I recommend for solos and small firms, regardless of platform:

1. Inventory and classify your devices across platforms.
   Capture which users are on Windows, which are on macOS, and what roles those machines play. Prioritize devices used for active litigation, client communications, and high-sensitivity matters.

2. Set a realistic refresh cycle that is OS‑aware.
   For most law practices, a 3–5 year cycle for primary laptops and desktops is reasonable, but the exact timing should reflect each platform’s support timeline—Windows 10 reaching end of support, macOS versions aging out, and vendor firmware commitments.

3. Budget for “competence grade” hardware on both sides.
   As we argued in both the December and April MTC pieces, it is better to buy fewer, well‑specced machines—whether that is a mid-range Surface Laptop or a MacBook Air with sufficient RAM—than to chase the absolute lowest price and end up with systems that choke under AI‑enhanced workflows.

4. Run a structured Windows vs. Mac evaluation, not a loyalty contest.
   Following the April article’s recommendation, build a simple matrix comparing specific Windows and Mac models on price, RAM, storage, performance, security features (like Secure Boot, Secure Enclave, or TPM), support life, and compatibility with your core practice software. Tie that matrix explicitly to your responsibilities under ABA Model Rules 1.1 and 1.6 so you can show you exercised reasonable diligence.

5. Cull redundant subscriptions before sacrificing baseline hardware on either platform.
   Before you decide that “Macs are too expensive now” or “Windows machines are out of reach,” examine your monthly AI and SaaS spend. Many firms can free up budget for better Windows or Mac hardware by retiring overlapping tools that deliver marginal benefits.

This is not about declaring a winner in the Windows vs. Mac debate. It is about recognizing that both ecosystems are affected by the same structural forces—AI‑driven memory demand, supply constraints, tariffs—and that your ethical obligations apply regardless of logo. ⚖️

So, should lawyers be worried? (PC‑neutral conclusion)

Concern is justified. Panic is not. 😅

Law firmS of every size need to plan Windows, Mac, and AI refresh strategy

Yes, Windows PC and Mac prices are rising and are likely to remain elevated through at least 2027, given ongoing DRAM constraints and AI demand. Yes, AI and cloud tools are adjusting their pricing and tiers in ways that can catch an unprepared firm off guard. And yes, when Microsoft raises Surface prices, and Tim Cook says he has never seen a memory crunch like this in over 40 years and calls it a “hundred-year flood,” those are market‑wide signals—not platform‑centric marketing talking points.

But you still have levers to pull, no matter which platform you use:

• Plan your hardware lifecycle instead of reacting to failures.

• Prioritize “competence grade” devices and security over optional features, whether that is a mid‑range Windows laptop or a MacBook with enough RAM.

• Rationalize your AI and SaaS stack so you pay for what actually moves the needle.

• Treat your tech stack as part of your ethics compliance, not just overhead. ⚖️

Lawyers on both Windows and Mac should treat 2026’s hardware and AI price hikes as a market‑wide issue that affects competence, confidentiality, and client service—not as a referendum on one platform. 💻⚖️

MTC

How (To) Lawyers Can Write Better AI Prompts (In Minutes) with PromptCowboy 🤠

today’s Lawyer need to master AI prompts in a modern tech-savvy law office 📚🤖

Large language models (LLMs) are not magic wands. They are very fast, very convincing parrots. When you ask sloppy questions, you get sloppy answers. When you ask clear, structured questions, you start to see real value in your law practice.

That’s why prompt quality is now a lawyering skill, not a party trick—and tools like PromptCowboy can help you build that skill quickly and safely.

In earlier Tech-Savvy Lawyer posts like “🎙️ TSL Lab’s Deep Dive into Our May 18, 2027, editorial, “AI Won’t Replace Solo and Small Firm Lawyers. It Will Supercharge Them”!” and podcast episodes discussing AI workflows, I’ve stressed the same core message: you cannot delegate your professional judgment to an LLM. You can, however, use an LLM to accelerate competent lawyering—if you stay in control of the instructions you give it and the outputs you accept.

Why prompt quality is an ethics issue 💼

The ABA’s technology competence mandate under Model Rule 1.1 now clearly extends to understanding the risks and benefits of generative AI tools. ABA Formal Opinion 512 emphasizes that lawyers may use generative AI to deliver faster and more efficient legal services, but only if they maintain independent professional judgment, supervise results, and comply with duties of confidentiality, candor, and reasonable fees.

That means “prompt engineering” is not a hobby; it’s part of staying reasonably informed about relevant technology and using it responsibly. When you use a tool like PromptCowboy to structure your prompts, you are not outsourcing judgment—you are standardizing how you exercise it.

What PromptCowboy actually does for lawyers 🤠⚖️

PromptCowboy is a guided prompt generator. You type in a rough idea (“help me sanity-check a demand letter” or “summarize this deposition transcript for trial prep”), and it walks you through targeted questions that transform that rough idea into a structured, reusable prompt.

For lawyers, three capabilities matter most:

• It enforces structure: role, task, context, constraints, and output format.

• It preserves prompts: you can reuse, tweak, and standardize prompts across matters and teams.

• It supports multiple LLMs: you can paste the same prompt into your preferred tools (e.g., a legal-specific AI plus a general LLM).

If you’ve ever stared at a blank chat box and thought, “I don’t even know how to ask this,” PromptCowboy is the bridge between your legal brain and the AI chat window.

Why not just type directly into the LLM? 🤔

If you’re comfortable drafting a tight brief from a messy client email, you can learn to write good prompts directly in ChatGPT, Claude, or your preferred tool. The question is not “Can I?”—it’s “Is that the best use of my time and attention?”

PromptCowboy sits between your legal brain and the AI chat box and gives you three advantages that are hard to get from freehand prompting alone.

1. It forces you into best practices by default

Most prompt-engineering guides tell you: be specific, define the role, give context, specify the audience, and tell the model what format you want. When you type straight into an LLM, you have to remember all of that and translate your legal problem into structured instructions.

PromptCowboy automates that discipline:

• It asks targeted follow-up questions about audience, use case, and output format.

• Its “improve your prompt” style features can take your “lazy prompt” and suggest refinements, like adding jurisdiction, tone, or specific constraints.

• It then assembles a complete, structured prompt you can copy into your LLM.

From an ethics standpoint, this matters because better-structured prompts reduce the risk of vague, misleading, or overconfident AI outputs that you might otherwise overlook—helping you meet your competence duty under Model Rule 1.1 and the quality expectations outlined in ABA Formal Opinion 512.

2. It gives you reusable, auditable prompt “precedent”

When you type directly into a chat window, your “good prompts” disappear into the scroll unless you remember to save them elsewhere. Lawyers would never run a litigation practice without templates and prior forms, yet many start from scratch every time they open an AI tool.

PromptCowboy provides:

SOLO AND Small-firm attorneys CAN COMPETE WITH LARGER FIRMS BY CREATING POWERFUL AI prompt templates for clients ⚖️💬

• Prompt history and private templates in its paid tiers, so you can reuse and iterate on prompts like you do with forms.

• Centralized prompt management, so a firm can standardize prompts for common tasks (client email drafts, discovery checklists, status updates) and keep everyone using the same baseline instructions.

• A clean separation between “prompt drafting” and “AI execution,” which makes it easier to document how you instructed the AI if you ever need to explain or audit your process.

That last point goes to Model Rules 5.1 and 5.3—supervision of lawyers and nonlawyer assistants—because LLMs function in practice like a highly automated, but still supervised, assistant. Having standard prompts you can review, update, and roll out to a team is much easier with a dedicated prompt tool than with a dozen scattered screenshots.

3. It speeds up the “iterate and improve” loop

Good prompting is iterative. You try, you see what the AI produces, you refine. That’s true whether you’re drafting in a word processor or prompting an LLM.

PromptCowboy accelerates that loop because:

• It can generate an initial, detailed prompt from a very short description (“help me draft a discovery checklist for a Virginia PI case”).

• It automatically suggests follow-up questions whose answers will sharpen the prompt, instead of making you guess what to change.

• Once refined, you can save that prompt and reuse it as a starting point next time, instead of reinventing the wheel in the LLM chat.

The net effect is less cognitive load. You spend your time reviewing outputs and exercising legal judgment, not handcrafting prompts from scratch—which aligns with the efficiency and cost considerations in Model Rule 1.5 and the access-to-justice benefits emphasized in Formal Opinion 512.

When direct prompting is fine—and when PromptCowboy shines

To keep this honest: there are plenty of scenarios where you can safely type straight into your LLM, like one-off low-stakes tasks or conversational exploration.

PromptCowboy shines when you:

• Want repeatable workflows (weekly client updates, discovery outlines, intake summaries).

• Need team-wide standards for how AI should behave and respond.

• Must document your process for internal policies, insurers, or regulators who may ask how you controlled AI outputs.

Think of typing directly in the LLM as scribbling notes on a legal pad in chambers; using PromptCowboy is more like drafting a form in your document system that the whole firm can rely on.

A simple framework: RICE + I (Role, Instructions, Context, Expectations + Inputs) 🧩

The RICE framework—Role, Instructions, Context, Expectations—is a practical way to structure prompts. Let’s add an explicit “I” for Inputs and walk through how PromptCowboy helps you implement it:

1. Role – Who is the AI supposed to be?
   Example: “You are a legal writing coach familiar with U.S. civil procedure.”
   PromptCowboy prompts you to define this persona up front, narrowing the output.

2. Instructions – What task should it perform?
   Example: “Identify ambiguities and tone issues in the following demand letter and suggest specific edits.”

3. Context – What background does it need?
   Example: “Maryland state court personal injury case involving a rear-end collision, liability admitted, issue is damages only.”

4. Expectations – How should it respond?
   Example: “Return a bullet-point list, no more than 10 bullets, written at a 10th-grade reading level.”

5. Inputs – What materials can it see?
   Example: “You will receive the text of the demand letter below this prompt.”

PromptCowboy’s workflow essentially walks you through each of these steps, so you don’t have to remember them every time.

Step-by-step: Building a better legal prompt with PromptCowboy 🛠️

Solo practitionerS CAN craft ethical AI prompts with ABA-focused guidance 🧠📜

Let’s say you want an LLM to help you draft initial discovery requests in a straightforward personal injury case—without crossing ethical lines.

Step 1: Decide what you will do first
Under Model Rule 1.1 and Formal Opinion 512, you must understand the law and facts well enough to supervise any AI assistance. That means you:

• Identify the jurisdiction and claims

• Review your client’s key facts

• Decide what categories of information you need

Only then should you move to the AI.

Step 2: Open PromptCowboy and describe your task in plain English
In PromptCowboy, start with a simple description:

“Help me generate draft interrogatories and requests for production for a rear-end auto collision case in Virginia state court, focusing on damages.”

Step 3: Answer PromptCowboy’s clarifying questions
PromptCowboy will ask for details like:

• Target audience (you, another lawyer, or a client)

• Preferred tone (formal, plain language, bullet-point)

• Output format (numbered list, table, outline)

By answering these questions, you naturally fill in the RICE + I elements without overthinking the jargon.

Step 4: Add ethical guardrails into the prompt
This is where ABA Model Rules meet prompt engineering:

• Model Rule 1.6 (confidentiality) and Formal Opinion 512 suggest you should avoid disclosing client-identifying information to public LLMs unless you have informed consent and appropriate safeguards.

• So in the prompt, you write:
  “Do not invent case-specific facts. Use only the generic facts provided. Do not reference any real persons or entities.”

PromptCowboy can store that language so you reuse it in future prompts.

Step 5: Generate, copy, and paste into your chosen LLM
Once PromptCowboy assembles the prompt, you copy it into:

• A general LLM (e.g., ChatGPT, Claude or Perplexity*) for plain-language drafting, or

• Your firm’s legal AI platform for case-specific workflows.

Then you review the output like you would a first-year associate’s draft—carefully and critically.

Practical prompt examples you can reuse 🧾

Here are two PromptCowboy-friendly templates you can adapt:

Template 1: Research sanity-check (non-confidential)

“You are a legal research assistant familiar with [jurisdiction].
Task: Summarize the general legal standards for [issue] without citing specific cases.
Context: This is for high-level planning, not court submission.
Expectations: Provide a concise outline with headings and bullet points.
Ethics: Do not fabricate statutes or case names; flag any uncertainty for follow-up research.”

Template 2: Plain-language client explanation (with safeguards)

“You are a communication coach for lawyers.
Task: Rewrite the following explanation of [legal issue] so a layperson can understand it.
Context: This will be used as a draft for a client email.
Expectations: 3–5 short paragraphs, no legalese, no promises of outcomes.
Ethics: Do not add any new legal advice beyond what is given. Flag any unclear sections for attorney review.”

These templates align with Model Rules 1.1 (competence), 1.4 (communication), and 7.1 (avoiding misleading statements), while using PromptCowboy to enforce structure and consistency.

Common mistakes PromptCowboy helps you avoid 🙅‍♂️

PromptCowboy is not a substitute for judgment, but it does reduce some predictable errors lawyers make with LLMs:

• Vague requests (“Write a brief” with no jurisdiction, facts, or audience)

• No output format (you get a wall of text you can’t use)

• Hidden assumptions (AI fills in facts that are wrong or prejudicial)

• Over-sharing (don’t paste client-identifying facts into a public tool)

By forcing you to specify intent, context, and output, PromptCowboy nudges you toward more disciplined, repeatable AI use.

Bringing it into your practice today 📆

If you are a solo or small firm lawyer, you do not need a full-blown “AI strategy deck” to start. You need one or two well-crafted, reusable prompts for tasks you already handle every week—email drafting, checklists, or content summaries.

📢 Stay Tuned! In a future episode of The Tech-Savvy Lawyer Podcast, we’ll walk through a live PromptCowboy-to-LLM workflow and compare results across different tools. For now, pick one use case, build a prompt with PromptCowboy, and run it through your existing AI stack. Measure whether it saves you time without sacrificing quality or ethics.

Used thoughtfully, PromptCowboy can help bridge the gap between “AI-curious” and “AI-competent”—and that’s exactly where the profession needs to go next. 🚀

TSL.P Labs 🧪 Video 📽️ Presentation: Google Quick Share for Lawyers — Cross-Platform File Sharing Without Compromising Ethics!

Hit play. This special video of our How to Use Google’s “AirDrop for Android” (Quick Share) in Your Law Practice 🔁📱 post is a tactical, ethics-first guide to Google Quick Share — the cross-platform file sharing breakthrough that every law firm needs to understand right now.

Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 We walk through Google Quick Share's game-changing interoperability update — the one that lets Android and Apple devices share files directly, peer-to-peer, without any data ever touching Google or Apple servers. Better yet, we map every practical workflow against the ABA Model Rules so you know exactly where the ethical lines are before you share a single file.

Whether you're a solo practitioner, a litigation partner prepping for trial, or a firm administrator rolling out new mobile policies, this episode gives you the complete picture: the tech, the workflows, the compliance requirements, and a five-step checklist to deploy it all safely across your team.

In our conversation, we cover the following

• [00:00] 📖 The problem — Android and iPhone silos have plagued law firms for years. Google Quick Share's latest update builds a true cross-platform bridge.

• [01:00] 🗺️ Episode road map — six sections: The Tech Bridge, Step-by-Step Workflows, Real-World Law Practice, ABA Rules & Compliance, Practical Security Settings, and the Firm Roll-Out Checklist

• [01:30] 🌉 Section 1 — The Tech Bridge: Peer-to-peer file transfer architecture explained — and why files bypassing Google and Apple servers is a major data privacy win for client confidentiality

• [02:00] 📱 Compatible devices: Samsung Galaxy S and Z series, Google Pixel 8, 9, and 10, Vivo, and iPhones running the latest AirDrop enhancements

• [02:30] 🔄 Section 2 — Step-by-Step Workflows: Four-step Android-to-iPhone transfer — open the item, tap Share, select Quick Share, tap the iPhone name. Recipient taps Accept. Done.

• [03:00] ↔️ iPhone-to-Android: Open the document, tap the Share Sheet, select AirDrop — the Android device appears as a target. Tap it, Android user accepts. Seamless.

• [03:30] ⚖️ Section 3 — Real-World Law Practice: Beaming a signed retainer agreement from Android to iPhone; cross-platform trial prep for demonstratives; sharing documents directly with clients in meetings

• [04:15] 🔍 Section 4 — ABA Rules & Compliance

  • Rule 1.1 (Competence): Not understanding Quick Share's privacy controls is an ethical violation, full stop.

  • Rule 1.6 (Confidentiality): Always verify the recipient device name. Evaluate whether peer-to-peer sharing is appropriate for your most sensitive materials.

  • Rule 5.3 (Supervision): You are responsible for your staff's use of these tools. A written BYOD policy governing Quick Share is non-negotiable.

• [06:00] 🛡️ Section 5 — Practical Security Settings

  • Android: Set Quick Share visibility to Contacts Only or Hidden; require device unlock to accept transfers; move received files immediately to your secure document management app

  • iPhone: Default to AirDrop Contacts Only; switch back from Everyone immediately after use; train staff to decline unexpected AirDrop requests

• [07:00] 📋 Section 6 — Firm Roll-Out Checklist: Five steps — inventory devices → force OS updates → mandate privacy settings → run a 30-minute team training → define file-type policies in writing

• [08:00] 💡 Closing thought: The tech is ready. The only barrier is implementation. How will you lead your firm's cross-platform modernization without compromising your ethical shield?

RESOURCES

Mentioned in the episode

• ABA Model Rule 1.1 — Competence: https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_1_competence/

• ABA Model Rule 1.6 — Confidentiality of Information: https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_6_confidentiality_of_information/

• ABA Model Rule 5.3 — Responsibilities Regarding Nonlawyer Assistance: https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_5_3_responsibilities_regarding_nonlawyer_assistance/

Hardware mentioned in the conversation

• Apple iPhone (AirDrop-compatible, latest iOS): https://www.apple.com/iphone/

• Google Pixel 8: https://store.google.com/us/category/phones

• Google Pixel 9: https://store.google.com/us/category/phones

• Google Pixel 10 (Pixel 1000 series): https://store.google.com/us/category/phones

• Samsung Galaxy S Series: https://www.samsung.com/us/smartphones/galaxy-s/

• Samsung Galaxy Z Series (foldables): https://www.samsung.com/us/smartphones/galaxy-z/

• Vivo Android Devices: https://www.vivo.com/en/

Software & Cloud Services mentioned in the conversation

• Google Quick Share (Android): https://android.com/better-together/quick-share-app/

• Apple AirDrop: https://support.apple.com/en-us/102497

📬 Subscribe to The Tech-Savvy Lawyer for weekly episodes at the intersection of law practice and emerging technology. Share this post with any colleague who is still emailing files to themselves — their time is worth more than that. 🚀

⚠️ Disclaimer: This content is strictly educational and does not constitute legal advice. Technology features and professional responsibility rules evolve constantly. Verify all applicable state, local, and jurisdictional rules before implementing any new firm workflows.