The University of Chicago Law School released an AI strategy on July 9, 2026, and the detail everyone seized on was the laptop ban. First-year students in core courses will face no laptops, tablets, or phones in the classroom, and exams with no internet, files, or apps. Framed that way, it sounds like a prestigious institution digging a moat against the future, nostalgia dressed up as policy.
That framing gets the document exactly backwards. Read the full statement and the laptop ban is a small tactic inside a genuinely thought-through strategy, and the strategy is not anti-AI at all. It is a bet about what makes a lawyer valuable when AI can do much of the routine work, and the answer it lands on is worth understanding, because it applies well beyond law school.
The thesis, in three words
The whole strategy compresses into a phrase UChicago borrows from its parent university: students should learn to think with, without, and about AI. That is not a slogan. It is a deliberate rejection of the two easy positions, and the entire policy follows from it.
The two easy positions are the ones most institutions have defaulted to. One is to ban AI, treat it as cheating, and pretend graduates will practice in an AI-free world. The other is to embrace it wholesale, teach the tools, and let students use them freely. UChicago rejects both as intellectually lazy. Banning it ignores that AI is already pervasive in legal practice and students will be expected to use it in their first summer jobs. Embracing it uncritically ignores that students who lean on AI shortcuts produce easy answers but stunt their own intellectual growth.
The "with, without, and about" formulation is the school's way of saying all three are separate skills that have to be taught deliberately. Using AI well is one skill. Thinking without it is a different skill that AI use can quietly erode. And reasoning about AI, its limits, its errors, when to trust it, is a third. A policy that only did one of these would fail at the other two. That is the actual idea, and the laptop ban is just one instrument serving it.
Why the 1L year gets the strictest rules
The part that looks most reactionary, the total device ban for first-years, is where the reasoning is sharpest, and it rests on a point about learning that is easy to miss.
UChicago's argument is that the first year is when the value of effortful struggle is paramount and a student's ability to judge the quality of AI output is at its lowest. Those two facts together are the justification. A 1L cannot yet tell a good legal analysis from a plausible-sounding wrong one, which is exactly the failure mode of current AI, it produces fluent text that can be subtly, confidently incorrect. Hand that student an AI crutch before they have developed judgment, and they never build the internal standard they would need to catch the AI's mistakes later.
So the ban is not about purity. It is about sequencing. You have to learn to reason before you can supervise a machine that reasons, because supervising it means catching it when it is wrong, and you cannot catch what you cannot recognize. The school is explicit that this is not blanket prohibition even for 1Ls: it encourages using AI to clarify background concepts before class or generate practice problems, uses that build engagement. What it blocks is the offloading of the core cognitive work during the window when that work builds the foundation. That is a defensible pedagogical claim, not a Luddite one.
The tiered design is the clever part
What makes the strategy more than a policy is that it changes as students advance, and the structure mirrors how expertise actually develops.
In the 1L core, the AI-resilient rules are mandatory and coordinated across every section, because foundational skills need consistency and first-years need protecting from their own inability to judge. In legal writing, the approach flips to writing without AI as the foundation, then layering AI on top for research and revision, because by summer these students will be expected to use the tools professionally. In upper-level electives, the no-device rules become defaults rather than requirements, and faculty are encouraged to experiment with custom chatbots and AI-generated practice problems. In the clinics, students work both with and without AI on real cases for real clients.
The progression is the point. Maximum restriction when judgment is weakest and the stakes are learning; increasing AI integration as judgment matures and the stakes become practice. It treats AI competence not as a switch but as something layered onto a foundation of independent thinking, in the same order a person actually becomes an expert. That is a more sophisticated design than either a blanket ban or a free-for-all, and it is why this document is getting attention across legal education.
The smartest single move: defend your paper out loud
One new requirement deserves singling out, because it solves a specific problem elegantly and is the most portable idea in the whole plan.
Every student completing the major research paper required for the degree will now have to discuss it orally, in person, with the supervising professor, answering questions that probe the paper's reasoning. This is aimed squarely at the hardest problem AI poses to education: a take-home paper can now be substantially AI-generated, and detection is unreliable. UChicago's answer is not to try to detect AI. It is to make detection unnecessary.
If you have to sit across from an expert and defend the reasoning of your paper in real time, it does not matter whether AI helped you write it, because you cannot fake understanding you do not have under live questioning. The oral defense tests the one thing AI cannot supply on the student's behalf: their own comprehension. And the school is candid that this has value entirely apart from AI, lawyers constantly have to explain and defend their reasoning in real time, in court, in negotiations, with clients. The requirement is AI-proof and independently worthwhile, which is the mark of a genuinely good solution rather than a defensive patch. Any teacher, in any field, could adopt it.
The bet underneath: what stays human
Step back and the strategy rests on a wager about the profession, and it is the part most worth arguing with. UChicago is betting that certain things will remain the domain of humans not just because humans are good at them, but because clients, judges, and society will want humans to do them: oral advocacy, strategic judgment, relationships, being present to a client.
This is a specific and contestable claim, and the school is staking its curriculum on it. If it is right, then doubling down on the "essential human" skills while treating AI as a supervised tool is exactly the correct preparation. If it is wrong, if AI erodes even those domains faster than expected, then a school that spent its energy protecting oral advocacy and independent writing may find it has trained students for a narrower human niche than it assumed. The strategy is a thoughtful answer, but it is answering a question, will AI plateau at the boundary of essential human judgment, that nobody can yet answer with confidence. To its credit, UChicago builds in the hedge, explicitly committing to continuous reconsideration because no AI strategy can be final.
Why this matters beyond one law school
UChicago is a top-five law school, which means this statement is likely to shape what peer institutions do, and it lands in a live debate. Just weeks earlier, UC Berkeley Law moved toward barring AI for most class assignments and exams, the cleaner, simpler position. UChicago's approach is the harder one to execute, integrate AI where it belongs, wall it off where it doesn't, and teach students to tell the difference, and the contrast between the two schools is the real story for anyone watching how elite education absorbs this technology.
The broader lesson generalizes past law. Every field wrestling with AI in education faces the same three-way choice UChicago named: ban it, embrace it, or do the harder work of teaching people to think with it, without it, and about it. The laptop ban made the headlines because it is concrete and slightly provocative.
The durable idea in this document is the framework, that AI competence has to be built on top of independent judgment, not in place of it, and that the two skills have to be taught in the right order.