Penn Carey Law
ResearchBuildTeach
AI for the legal profession.
The AI Teaching Lab at Penn Carey Law researches how AI is changing legal education and practice, builds the tools that put those findings to work, and teaches lawyers, law students, judges, and the profession how to use AI well.
Research
Empirical and applied research on how AI affects legal education and practice.
Explore →Build
Tools that put research into practice — software, platforms, and pipelines.
Explore →Teach
Disseminating what we learn and build — to students, faculty, judges, and the profession.
Explore →Research findings inform what gets built. Tools enable more research — at scale and with feedback. Teaching disseminates what we learn back to the field, and produces the questions that fuel the next research cycle. The loop is the methodology.
Active projects
Exam Grader
Calibration-based AI grading for law-school essay exams — deployed against Polk's Spring 2026 IP class.
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.
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).
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.
Recently from the Lab
AI Law Lab Bootcamp
A 2-credit, intensive 2-weekend capstone course built around hands-on AI legal-tool simulations. Two parallel tracks — Corporate (M&A due diligence) and Litigation (analytics & predictive strategy).
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