University of Pennsylvania Carey Law SchoolPhiladelphia, Pennsylvania

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