Artificial Intelligence Law

To give you a better sense for the forthcoming casebook, here’s our current table of contents, as of May 2026. We expect to make some changes to the book’s topics and overall organization before it appears in print, but this will give you a good sense for the topics covered, the flow of the book, and maybe even some of our underlying philosophy and pedagogical approach.

We (Margot Kaminski, Paul Ohm, and Andrew Selbst) are proud to announce that we have a publisher for Artificial Intelligence Law and an expected publishing date! We are pleased to be working with Foundation Press, part of the West Academic Publishing family, as part of the University Casebook Series. (In case you think in these terms: the casebooks with the blue covers with red squares.) We are spending Summer 2026 putting the finishing touches on the first edition, which we plan to be available in time for fall adoptions....

The starting point for our casebook is the draft Paul created when he taught AI & Law for the first time in Fall 2023. This version did not have the benefit of Margot’s and Andrew’s full input, and it’s full of choices that Paul will do differently the next time he teaches. Still, we’d like to share some of this to lend a hand to the dozens of law professors and hundreds of students gearing up for a class in AI Law this semester....

The casebook originated in Paul Ohm’s AI Law course at Georgetown Law in Fall 2023. The book has three co-authors: Margot Kaminski, Professor of Law, University of Colorado Law School Paul Ohm, Professor of Law, Georgetown University Law Center Andrew Selbst, Assistant Professor of Law, UCLA School of Law We start from the premise that the field of AI Law is sufficiently well-developed to justify a fully fleshed out casebook that can be used in doctrinal, lecture-style classes, with a final exam at the end....

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