Artificial intelligence is reshaping every sector of society, and Stanford Law School is leading its application in law. Our faculty and students collaborate closely with colleagues across Stanford—in computer science, engineering, medicine, business, and the social sciences—to bring interdisciplinary depth to the study of AI’s impact on law and policy.

Across the law school, faculty are producing foundational scholarship that examines AI’s role in reshaping core areas of law such as intellectual property, health care, civil rights, and election law—as well as its broader effects on governance, markets, and democratic institutions. 

Stanford Law’s AI-focused centers and labs are pioneering new approaches to law and technology. The Legal Innovation through Frontier Technology Lab (liftlab), for example, develops and evaluates AI tools for legal services in collaboration with law firms and technology companies. The Deborah L. Rhode Center on the Legal Profession investigates how AI is reshaping legal practice, professional responsibility, and access to justice while the Legal Design Lab is applying human-centered design and AI to reimagine how people interact with the legal system. And the Regulation, Evaluation, and Governance Lab (RegLab) works with agencies like the IRS, courts, and local governments to use AI and data science to reduce bias, improve fairness, and modernize public systems. 

Stanford’s CodeX—the Center for Legal Informatics—was on the cutting edge of these issues decades ago, and its pioneering work helped lay the groundwork for today’s groundbreaking initiatives.

Stanford Law’s teaching is equally forward-looking, preparing students to engage critically with AI across doctrine, policy, and practice. Stanford Law offers specialized courses and practicums at the intersection of AI, law, and policy, covering topics such as the use of AI in administrative and constitutional law, the regulation of emerging technologies, and the ethics of generative AI. Large language models and other AI tools are deeply integrated into clinics and classrooms, giving students hands-on experience with both the promise and pitfalls of these technologies.