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 →

Selected work

All projects →
001

Exam Grader

Calibration-based AI grading for law-school essay exams — deployed against Polk's Spring 2026 IP class. buildresearch Active
002

Course Materials

An 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
003

Casebook Builder

Curate 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
004

Exam Taker

The 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
005

Course-Website Tooling

Generalize the Legal Education at Model Velocity microsite into reusable templates the Project and others can deploy quickly. buildteach Planning