Artificial Intelligence and Technology Law

AI is reshaping legal practice, legal education, and legal research at a rapid pace. Along with that transformation comes a host of related questions (theoretical, technical, ethical, legal, policy, and more) that lawyers in the public and private sectors must address in their work, research, and practice. 

As emerging technologies continue to revolutionize the practice of law and the administration of justice, how can lawyers develop the foundational knowledge and adaptive conceptual frameworks needed to succeed in a shifting landscape?

With its location in the world's legal capital and faculty who are pursuing cutting-edge scholarship at the intersection of law and technology, Columbia Law School is uniquely positioned to prepare students with skills required for modern practice. Here, faculty are already driving AI teaching and research, deploying AI research tools, shaping the development of legal technology, and offering related expertise in law and technology. Curricular enhancements around AI, including a Law and AI survey course and expanded electives in AI and technology, mean students receive training in AI starting their 1L year, all underpinned by the Law School’s traditional mission of training students to think critically and rigorously.

Why Columbia Law?

Gain foundational understanding of how AI tools function, how to engage with them critically, and how to utilize them in your career and work through the Law School’s survey and upper-level courses, externships and clinics, and other opportunities. 

Collaborate with faculty at the forefront of integrating large language models (LLMs) and state-of-the-art computational methodologies into legal scholarship, practice, and research across a range of disciplines and fields, including copyright, law and economics, corporate law, criminal law, and family law.

Deepen engagement with cutting-edge issues arising from the rapid growth of AI by taking advantage of Columbia University’s strength in AI research and teaching, and emphasis on cross-disciplinary collaboration. 

Explore the ethical and public policy dimensions of AI and legal practice, including privacy, equality, human dignity, democracy, market power, and the rule of law.

Join serious discussion on cutting-edge issues as an editor of the Columbia Science and Technology Law Review or member of student organizations such as the Society for Artificial Intelligence and Law (SAIL) and Columbia Law School Society for Law, Science and Technology (SLST).

Talia Gillis on Preparing Students for Success in the Age of AI

Related Experiential Learning Opportunities

Related Student Groups and Journals

  • Columbia Law School Legal Tech Association
  • Columbia Science and Technology Law Review
  • Columbia Law Blockchain Club
  • Society for Artificial Intelligence and Law (SAIL)
  • Society of Law, Science, and Technology (SLST)

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Anu Bradford

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Jane C. Ginsburg

  • Morton L. Janklow Professor of Literary and Artistic Property Law
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Eric Talley

  • Marc and Eva Stern Professor of Law and Business
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Timothy Wu

  • Julius Silver Professor of Law, Science and Technology

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