The Curriculum Problem
Walk into any of the top-25 US law schools today and ask what mandatory AI training is built into the 1L curriculum. At most schools, the answer is: a two-hour module in legal research and writing, or an elective that a minority of students take.
The gap between this and what the profession requires is already severe. Associates entering BigLaw in 2026 are expected to use AI tools from day one — to verify AI outputs, structure prompts to produce reliable results, and identify the failure modes of the tools they use. Almost none of this is taught in law school.
What the Curriculum Should Include
Based on interviews with forty practitioners across BigLaw, in-house, and the plaintiff's bar, we identified five competencies that should be mandatory in every law school curriculum.
First, hallucination detection — the practiced skill of reviewing AI-generated legal research and identifying fabricated citations. Second, structured prompting for legal tasks. Third, privilege and work product analysis for AI-assisted work. Fourth, AI vendor evaluation. Fifth, AI ethics and professional responsibility.
Why Schools Are Moving Slowly
Law school curricula move slowly for structural reasons: faculty expertise is slow to develop, curriculum changes require faculty approval, and accreditation standards create inertia. But the pace is also a choice. The schools that have moved fastest — Stanford, Harvard, Georgetown, Chicago — did so because leadership decided to move.
The consequence of slow movement is a growing professional competence gap. Law firm partners are increasingly reporting that new associates lack the AI skills that are now baseline for associate work.