AI for the legal profession
The Penn Carey Law AI Project researches how AI is changing legal practice, legal education, and the law itself; builds the tools that put those findings to work; and teaches lawyers, law students, judges, and the profession how to use AI well.
01
Research
Empirical and applied research on how AI affects legal education and practice.
Research →02
Build
Tools that put research into practice — software, platforms, and pipelines.
Build →03
Teach
Disseminating what we learn and build — to students, faculty, judges, and the profession.
Teach →001Calibration-based AI grading for law-school essay exams — deployed against Polk's Spring 2026 IP class.
buildresearch
Active 002An extraction primitive: turn the messy artifacts of a real course — PDFs, slide decks, casebook excerpts, syllabi — into clean structured text that downstream tools can use.
buildteach
Active 003Curate and edit cases into custom course casebooks at a fraction of the commercial cost — faculty pilots in Torts and Patents (Fall 2026) and Legislation (Spring 2027).
buildteach
Active 004The AI Final Exam Project — can current AI pass real Penn Carey Law finals when its work is graded blind, on the curve, by the faculty who wrote the exams? Wave 1 results are in.
researchbuild
Active 005Generalize the Legal Education at Model Velocity microsite into reusable templates the Project and others can deploy quickly.
buildteach
Planning