Shaping the Future of Law and AI

Cornell Law's Center for Law and AI brings together researchers working at the intersection of law and artificial intelligence. The Center explores how AI is reshaping the legal profession, how legal education should evolve in response, how law and policy can effectively govern AI, and how AI tools can advance scholarship on legal and societal questions.

Artificial intelligence is transforming legal practice, from document review to predictive analytics. At the Center for Law and AI, we examine how legal education must evolve to prepare students for this changing landscape. Our work explores curricular innovation, ethical training, and the integration of computational thinking and AI literacy into the legal classroom.
Artificial intelligence is reshaping how legal services are delivered—from contract analysis and legal research to client counseling and dispute resolution. At the Center for Law and AI, we study how these technologies are changing the roles of lawyers, the structure of legal work, and access to justice. We also examine the ethical, professional, and institutional challenges that accompany the integration of AI into legal practice.
Artificial intelligence opens new frontiers for legal research and analysis—and raises new questions. At the Center for Law and AI, we explore how AI can assist in discovering patterns in legal texts, generating and testing legal theories, and expanding the empirical study of law. We also study how AI interacts with legal institutions and society to generate new legal and societal challenges and opportunities.
The rise of artificial intelligence poses urgent questions for law and policy. At the Center for Law and AI, we examine how legal frameworks—domestic and international—can be designed to govern AI systems responsibly. Our work explores regulatory design, institutional capacity, democratic accountability, and the evolving role of law in shaping the development and deployment of AI technologies.

Featured Research

Talkin’ ’Bout AI Generation: Copyright and the Generative-AI Supply Chain

In their latest publication, Professors James Grimmelmann, Katherine Lee, and A. Feder Cooper explore the intricacies of AI-related copyright infringement and the complex challenges legislators and regulators face in addressing it.

Licensing high-risk artificial intelligence: toward ex ante justification for a disruptive technology

Professors Frank Pasquale and Gianclaudio Malgieri argue that current reactive AI regulation fails to protect people from harm, and propose a licensing system that would require companies to demonstrate their AI is safe, fair, and reliable before dep

Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification

This publication explores how AI could transform the legal field, highlighting the challenges of data access, annotation, and verification, and calling for collaboration to build trustworthy tools that close the justice gap.

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments

This article looks into how delays in recording a patients’ race and ethnicity can give a misleading picture of healthcare inequities, showing why timely and accurate demographic data is essential for fairness.

Judicial self fashioning: Rhetorical performance in Supreme Court opinions

This study shows how Supreme Court justices use different writing styles, either highlighting their own views or presenting the Court as unified, to maintain legitimacy and finds notable shifts in these styles across different courts and recent years

"The Center for Law and AI serves as an intellectual hub for understanding how artificial intelligence is reshaping legal institutions, scholarship, and governance." ~ Professor Jed Stiglitz

Jed Stiglitz

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Shaping the Future of Law and AI

Focus Areas

Featured Research

Empower the Next Generation of Legal Innovators

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