U.S. Law Schools Are Rewriting the Classroom Rules for AI

U.S. law schools are changing classroom rules and course offerings as generative AI becomes a standard part of legal work. Reuters reported that at least a dozen schools revised policies over the summer of 2026. Approaches range from restricting laptops and phones to allowing limited AI use and adding formal instruction on the technology.

The University of Chicago adopted stricter limits intended to reinforce foundational legal reasoning. Columbia and Michigan allow more measured use in academic work. Berkeley has a restrictive default policy, though individual faculty may set different rules. Student groups have also pushed schools to teach practical, responsible use instead of treating AI only as a threat.

Exams remain a common boundary

Schools generally prohibit AI use during exams to protect academic integrity. Outside exams, they are deciding how to balance two risks: students may outsource core skills before learning them, while graduates may enter a profession that increasingly expects AI fluency.

The challenge is especially sharp in law. A system can produce a plausible case citation or confident summary while being wrong. Students need practice checking sources, understanding confidentiality, and knowing when a tool’s output cannot replace legal judgment.

From prohibition to professional competence

Policies work best when they explain what students may do, what they must disclose, and what sources they must verify. Practical courses can teach document review, research support, privacy protection, and responsible billing without treating generated answers as authoritative.

Law schools are still working out the right balance. Their choices will influence how a new generation of lawyers learns to use AI while preserving independent analysis and professional responsibility.

Source: Reuters on law-school AI policies and courses.