⚖️ How Law Schools Are Bringing AI Into the Curriculum
Artificial intelligence is moving from the law-firm technology department into the law-school classroom.
For prospective law students, that shift is worth watching. The legal profession is already using AI for research, drafting, document review, discovery, contract analysis and other tasks. At the same time, lawyers remain responsible for the accuracy, judgment and ethical consequences of the work they submit. Recent developments at law schools suggest that future J.D. students will need to learn not only how to use AI, but when not to use it—and how to check what it produces.
One of the most interesting examples comes from Vanderbilt Law School, which has just announced an AI-powered deposition simulator. But Vanderbilt is hardly alone. Schools including Stanford, Arizona State, Northwestern, Columbia, the University of Chicago, UVA and Georgetown are experimenting with different approaches to AI education.
For law school applicants, these developments raise an important question: What will a law-school education look like when AI is part of the profession from the first day of a student’s career?
Vanderbilt Law’s AI Deposition Simulator
Vanderbilt Law School is taking AI-powered legal education into the courtroom—at least virtually.
Beginning in fall 2026, Vanderbilt will offer DepoSim, an AI-powered deposition simulation platform developed by AltaClaro in collaboration with Verbit. Vanderbilt describes itself as the first law school to bring the technology into legal education.
Instead of practicing a deposition exclusively with a professor, classmate or hired actor, students can question AI-generated witnesses with different personalities and receive real-time objections from simulated opposing counsel.
The simulations are designed to introduce the unpredictability of actual litigation. Students can practice questioning witnesses, responding to unexpected answers and adjusting their strategy on the fly.
Even more importantly, the system provides immediate rubric-based feedback covering areas such as questioning strategy, responsiveness, professionalism and overall performance.
Vanderbilt plans to use DepoSim in courses such as Legal Practice Technology and law-firm practice simulations. Students will also be able to access the technology independently through the law library.
The platform initially includes simulations involving commercial litigation, employment law, intellectual property, antitrust, securities, mass torts and expert-witness depositions, with additional applications—including trial practice, oral arguments, discovery, client interviews and negotiations—expected to expand.
The significance for applicants: This is a good example of AI being used not simply to do legal work, but to help students practice being lawyers.
Stanford Law: Learning to Critique AI
Stanford Law School is taking a broader approach.
Its AI curriculum includes exercises in which students are asked to evaluate AI-generated legal work rather than simply produce work with AI. In one example, Professor Mark Lemley has students grade AI-generated answers to intellectual-property questions.
The objective is important: future lawyers will increasingly encounter AI-generated drafts, research and analysis, so they need to recognize what is missing, identify incorrect citations and improve flawed arguments.
Stanford has also integrated AI into first-year Legal Research and Writing. Students begin with traditional legal-writing instruction and later incorporate AI into simulated practice involving contracts and discovery. Applications include identifying legal issues, summarizing discovery, drafting research communications and editing.
Stanford’s approach also extends beyond individual courses. The law school has developed library-based AI training, makerspaces for building AI agents and AI-focused clinical programming. Its law library has added two AI-focused librarians, including specialists in data science and emerging AI technologies.
For applicants interested in technology, Stanford’s model illustrates an emerging philosophy:
AI competence is not simply knowing which button to press. It’s knowing whether the answer you received deserves to be trusted.
Arizona State: From Using AI to Building It
Arizona State University Sandra Day O’Connor College of Law is taking perhaps an even more hands-on approach.
ASU’s new AI and Legal Tech Studio is designed to give students practical experience developing and evaluating legal technology. The studio works with partners including Maricopa County courts and public-interest organizations on real legal problems, including access-to-justice challenges.
ASU says its broader strategy starts before students even enter their first class. Incoming J.D. students receive training during orientation covering the ethical, professional and practical use of AI. The school is also integrating AI throughout its curriculum rather than treating it solely as an elective topic.
Students can learn prompt design, model evaluation and application development, while ASU is also experimenting with AI-supported learning tools and a Socratic-style AI quizbot.
This represents a significant evolution in legal education.
Students aren’t merely learning about AI and the law. They’re learning how to evaluate, build and deploy AI systems that interact with the legal system.
Northwestern: AI, Legal Reasoning and Innovation
Northwestern Pritzker School of Law has developed an extensive technology curriculum that approaches AI from several directions.
Its AI and Legal Reasoning course introduces students to AI applications in law practice and courts, including computational law, information retrieval, machine learning and other technologies. Students can work on projects involving AI-related applications without requiring prior programming expertise.
Northwestern also offers a course on the Law of AI and Robotics, examining legal and regulatory issues involving autonomous vehicles, drones, algorithms, robotics, Big Data and automated decision-making.
And its interdisciplinary Innovation Lab brings law students together with computer-science students to design and test technology-based solutions to legal problems.
That interdisciplinary model could become increasingly important. Tomorrow’s technology-focused lawyers may need to communicate fluently with engineers, product managers, data scientists and business executives—not just other lawyers.
Columbia: AI Training Built Into the J.D.
Columbia Law School’s approach shows how AI is moving into the core law-school experience, rather than remaining a specialized interest.
For the 2026–27 academic year, Columbia adopted a new default policy that balances AI use with traditional legal education. The school says it will provide AI training during new-student orientation and ongoing workshops, while introducing AI modules into selected first-year courses and the legal research and writing curriculum.
But Columbia’s approach is not simply “use AI everywhere.”
The policy emphasizes skills that AI cannot replace easily, including critical thinking, judgment, intellectual curiosity, emotional intelligence, adaptability and the ability to analyze complex problems.
That balance may prove to be one of the defining themes of AI in legal education.
UVA Is Expanding AI Coursework
The University of Virginia School of Law is also rapidly expanding its AI offerings.
For the 2026–27 academic year, UVA says it is offering 12 courses directly related to AI, its largest such collection in a single academic year. The offerings cover both the technology’s legal and policy implications and its practical applications in legal work.
UVA is also developing an AI Deal Lab, scheduled to launch in spring 2027. The program is intended to give students hands-on transactional-law experience through AI-assisted simulations.
This is particularly interesting because much of the public discussion about legal AI focuses on litigation and legal research. Transactional lawyers are likely to be affected just as significantly through contract drafting, due diligence, negotiation and document analysis.
Georgetown: AI as a Core Technology-Law Subject
Georgetown Law’s Technology Law & Policy curriculum includes Artificial Intelligence and the Law as a core course in its 2026–27 JD technology curriculum, alongside subjects such as privacy, copyright, internet law and computer crime.
That positioning reflects another important trend: AI is becoming intertwined with traditional areas of legal specialization.
An aspiring intellectual-property lawyer may need to understand AI training and copyright. A privacy lawyer may encounter AI-generated data and automated decision-making. A corporate lawyer may advise clients on AI governance. A litigator may use AI for discovery and research.
In other words, AI law is increasingly becoming part of many areas of law rather than a completely separate specialty.
🔮 How Will AI in Law School Curriculums Evolve?
The current experiments are likely only the beginning.
Several trends seem particularly likely.
1. AI Will Move From Electives Into Core Courses
The early model was to offer an “AI and the Law” elective for students who were particularly interested in technology.
That model is already changing.
Columbia is embedding AI modules into selected 1L courses and legal research and writing. Stanford has incorporated AI into first-year writing and simulated practice. ASU says AI is being integrated throughout its curriculum.
Over time, applicants should expect AI literacy to become increasingly similar to legal research literacy: something every law student is expected to understand.
2. AI Simulations Could Expand Experiential Learning
Vanderbilt’s deposition simulator and UVA’s planned Deal Lab point toward an intriguing possibility: AI could make sophisticated practice simulations much easier to provide at scale.
Instead of waiting for a particular clinic, externship or class exercise, students could potentially practice:
• Depositions
• Client interviews
• Negotiations
• Oral arguments
• Contract drafting
• Discovery
• Due diligence
• Trial preparation
The advantage is repetition. A student can make mistakes in a simulation, receive feedback and try again.
3. AI May Change How Law Professors Teach
Instead of assigning students only traditional research and writing exercises, professors may increasingly ask them to evaluate AI’s work.
For example:
Here’s an AI-generated memorandum. What’s wrong with it?
That question may actually test deeper legal skills than simply asking students to produce a memorandum themselves.
Students must identify inaccurate authorities, missing arguments, unsupported assumptions and weaknesses in the reasoning.
Stanford’s approach provides an early example of this model.
4. AI Ethics and Professional Responsibility Will Become More Important
Law students will also need to understand the boundaries of responsible AI use.
That includes questions involving:
• Confidentiality
• Attorney-client privilege
• Accuracy
• Bias
• Copyright
• Data security
• Disclosure
• Client consent
• Court rules
• Professional responsibility
These aren’t hypothetical concerns. California lawmakers recently passed legislation addressing lawyers’ use of generative AI, including requirements involving verification of AI-generated material and restrictions on delegating legal practice to AI. The bill was awaiting the governor’s action as of early September 2026.
As regulations and court rules evolve, law schools will have to keep updating their curricula.
🎓 What Will This Mean for Law School Students?
For applicants, the most important point is that AI is unlikely to eliminate traditional legal education. It is more likely to change how students learn it.
Students will still need to understand cases, statutes, constitutional principles, legal doctrine and legal reasoning.
But they may increasingly learn those subjects while also asking:
• How can AI help me?
• What can AI get wrong?
• How do I verify its work?
• When is using AI inappropriate?
• How can I use AI without surrendering my own judgment?
That last question may be the most important.
🧠 Critical Thinking May Become More Valuable—Not Less
There is a paradox at the heart of AI-powered legal education.
If AI becomes better at generating first drafts and finding information, human judgment becomes more important, not less.
A lawyer who simply accepts an AI-generated answer isn’t necessarily demonstrating sophisticated legal skill.
A lawyer who can interrogate the answer, identify its weaknesses, find what the AI missed and determine what ultimately should be presented to a client or court is providing something much more valuable.
That’s why several schools are emphasizing critical thinking alongside AI fluency. Columbia explicitly identifies judgment and critical thinking as core skills that must remain central to legal education, while UChicago’s AI strategy emphasizes learning to think “with, without, and about AI.”
💼 What Does This Mean for Future Lawyers?
There’s another important issue that law-school applicants should consider.
Historically, junior lawyers learned by performing many labor-intensive tasks: reviewing documents, conducting research, drafting basic memoranda and working through large volumes of information.
AI is increasingly capable of performing some of those tasks.
That could create both an opportunity and a challenge.
On one hand, new lawyers may spend less time on repetitive work and more time on sophisticated analysis, client interaction and strategy.
On the other hand, some traditional entry-level tasks served as a training ground for developing legal judgment. If AI performs more of that work, law firms and law schools will need new ways to teach those skills.
Stanford has explicitly identified this challenge, noting that AI is taking over some tasks traditionally assigned to junior associates and that legal education must adapt accordingly.
This makes experiential education—including clinics, simulations, externships and supervised practice—potentially even more important.
🏆 What Should Law School Applicants Look For?
If you’re applying to law school over the next few years, AI may be worth adding to your school-comparison checklist.
Don’t simply ask:
“Does this law school offer an AI course?”
Instead, ask:
How deeply is AI integrated?
Is AI limited to one elective, or does it appear in legal writing, clinics, simulations and other courses?
Can students get hands-on experience?
Are students actually using legal AI tools, building applications or participating in simulations?
Does the school teach responsible use?
Look for instruction on verification, confidentiality, ethics, bias and professional responsibility.
Does the school connect AI to employers?
Partnerships with law firms, courts, technology companies and legal-service organizations can give students exposure to how AI is actually being used.
Does the school balance AI with fundamentals?
A strong AI curriculum should not come at the expense of reading, writing, analysis, oral advocacy and legal reasoning.
The strongest programs may ultimately be those that teach students to become better lawyers because of AI—not simply better AI users.
🚀 The Bottom Line for Law School Applicants
The question for law schools is no longer whether AI belongs in legal education.
The more interesting question is how it should be integrated without weakening the skills that make someone a good lawyer.
Vanderbilt’s AI deposition simulator, Stanford’s AI evaluation exercises, ASU’s AI and Legal Tech Studio, Northwestern’s interdisciplinary technology programs, Columbia’s curriculum-wide approach and UVA’s expanding AI coursework demonstrate how different schools are answering that question.
For applicants, this means AI could become an increasingly important factor when evaluating law schools.
But don’t choose a law school simply because it advertises the most AI.
The better question is whether the school can combine traditional legal fundamentals, rigorous analytical training, practical experience and responsible technological fluency.
The lawyers who thrive in the AI era may not be those who know the most about a particular tool. They may be the lawyers who understand when technology can help, when it cannot, and when human judgment must take over.
🎯 Is Law School in Your Future?
Choosing a law school is about more than rankings. As legal education evolves, applicants should consider curriculum, experiential opportunities, technology and AI offerings, career outcomes, geographic preferences, scholarships, debt and overall fit.
We help law school applicants develop informed school lists and compelling application strategies based on their individual goals and profiles. Our consultants can help you evaluate which programs make the most sense for the career you want—not simply which schools have the highest rankings or the newest technology.
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