Penn Carey Law AI Project  /  Research

The Project’s research pillar studies what AI can and cannot do in law school, in practice, and on the bench. We run controlled experiments, analyze data from real teaching environments, and produce empirical findings that inform what gets built next.

The research feeds the rest of the Project: findings shape what the Build pillar makes, and what the Teach pillar takes out into the field. The loop closes when teaching and tool use surface the next questions worth studying.

Projects in Research

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001

Exam Grader

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

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
003

Class Simulations

AI-driven simulations built around the actual class problems law students work through each week — starting with patent law. buildresearch Planning