MTC: Law School, Laptops, and AI: Why Banning Computers Misses the Point!

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. 🚀

🚀 Shout Out to Steve Embry: A Legal Tech Visionary Tackling AI's Billing Revolution!

Legal technology expert Steve Embry has once again hit the mark with his provocative and insightful article examining the collision between AI adoption and billable hour pressures in law firms. Writing for TechLaw Crossroads, Steve masterfully dissects the DeepL survey findings that reveal 96% of legal professionals are using AI tools, with 71% doing so without organizational approval. His analysis illuminates a critical truth that many in the profession are reluctant to acknowledge: the billable hour model is facing its most serious existential threat yet.

The AI Efficiency Paradox in Legal Practice ⚖️

Steve’s article brilliantly connects the dots between mounting billable hour pressures and the rise of shadow AI use in legal organizations. The DeepL study reveals that 35% of legal professionals frequently use unauthorized AI tools, primarily driven by pressure to deliver work faster. This finding aligns perfectly with research showing that AI-driven efficiencies are forcing law firms to reconsider traditional billing models. When associates can draft contracts 70% faster with AI assistance, the fundamental economics of legal work shift dramatically.

The legal profession finds itself caught in what experts call the "AI efficiency paradox". As generative AI tools become more sophisticated at automating legal research, document drafting, and analysis, the justification for billing clients based purely on time spent becomes increasingly problematic. This creates a perfect storm when combined with the intense pressure many firms place on associates to meet billable hour quotas - some firms now demanding 2,400 hours annually, with 2,000 being billable and collectible.

Shadow AI Use: A Symptom of Systemic Pressure 🔍

Steve's analysis goes beyond surface-level criticism to examine the root causes of unauthorized AI adoption. The DeepL survey data shows that unclear policies account for only 24% of shadow AI use, while pressure to deliver faster work represents 35% of the motivation. This finding supports Steve's central thesis that "the responsibility for hallucinations and inaccuracies is not just that of the lawyer. It's that of senior partners and clients who expect and demand AI use. They must recognize their accountability in creating demands and pressures to not do the time-consuming work to check cites".

This systemic pressure has created a dangerous environment where junior lawyers face impossible choices. They must choose between taking unbillable time to thoroughly verify AI outputs or risk submitting work with potential hallucinations to meet billing targets. Recent data shows that AI hallucinations have appeared in over 120 legal cases since mid-2023, with 58 occurring in 2025 alone. The financial consequences are real - one firm faced $31,100 in sanctions for relying on bogus AI research.

The Billable Hour's Reckoning 💰

How will lawyers handle the challenge to the billable hour with AI use in their practice of law?

Multiple industry observers now predict that AI adoption will accelerate the demise of traditional hourly billing. Research indicates that 67% of corporate legal departments and 55% of law firms expect AI-driven efficiencies to impact the prevalence of the billable hour significantly. The legal profession is witnessing a fundamental shift where "[t]he less time something takes, the more money a firm can earn" once alternative billing methods are adopted.

Forward-thinking firms are already adapting by implementing hybrid billing models that combine hourly rates for complex judgment calls with flat fees for AI-enhanced routine tasks. This transition requires firms to develop what experts call "AI-informed Alternative Fee Arrangements" that embed clear automation metrics into legal pricing.

The Path Forward: Embracing Responsible AI Integration 🎯

Steve’s article serves as a crucial wake-up call for legal organizations to move beyond sanctions-focused approaches toward comprehensive AI integration strategies. The solution requires acknowledgment from senior partners and clients that AI adoption must include adequate time for verification and quality control processes. This too should serve as a reminder for any attorney, big firm to solo, to check their work before submitting it to a court, regulatory agency, etc. Several state bars and courts have begun requiring certification that AI-generated content has been reviewed for accuracy, recognizing that oversight cannot be an afterthought.

The most successful firms will be those that embrace AI while building robust verification protocols into their workflows. This means training lawyers to use AI competently, establishing clear policies for AI use, and most importantly, ensuring billing practices reflect the true value delivered rather than simply time spent. As one expert noted, "AI isn't the problem, poor process is".

Final Thoughts: Technology Strategy for Modern Legal Practice 📱

Are you ready to take your law practice to the next step with AI?

For legal professionals with limited to moderate technology skills, the key is starting with purpose-built legal AI tools rather than general-purpose solutions. Specialized legal research platforms that include retrieval-augmented generation (RAG) technology can significantly reduce hallucination risks while providing the efficiency gains clients expect. These tools ground AI responses in verified legal databases, offering the speed benefits of AI with enhanced accuracy.

The profession must also recognize that competent AI use requires ongoing education. Lawyers need not become AI experts, but they must develop "a reasonable understanding of the capabilities and limitations of the specific GAI technology" they employ. This includes understanding when human judgment must predominate and how to effectively verify AI-generated content.

Steve's insightful analysis reminds us that the legal profession's AI revolution cannot be solved through individual blame or simplistic rules. Instead, it requires systemic changes that address the underlying pressures driving risky AI use while embracing the transformative potential of these technologies. The firms that succeed will be those that view AI not as a threat to traditional billing but as an opportunity to deliver greater value to clients while building more sustainable and satisfying practices for their legal professionals. 🌟