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Yavar Bathaee

Adjunct Professor of Law


School of Law


Email: Yavar Bathaee


Yavar is a partner at Bathaee Dunne LLP and represents clients in complex, high-stakes litigation in state and federal courts throughout the country. Yavar currently serves as lead trial counsel in several large antitrust, RICO, and consumer class actions and litigates novel constitutional and procedural issues throughout the country. Yavar spent more than a decade in Sullivan & Cromwell’s litigation group, where he represented a wide breadth of clients, including financial institutions, automotive manufacturers, technology companies, and central banks.

A computer scientist and engineer, Yavar is also developing deep neural network and deep reinforcement learning systems aimed at augmenting human judgment about litigation strategy and outcomes. Yavar’s academic scholarship is focused on the nascent field of AI and Machine Learning Law.


J.D., Fordham Law School, magna cum laude, Order of the Coif, and Class of 1911 Prize
B.S., University of California Davis, Computer Science and Engineering

Courses Taught

Constitutional Law I

Selected Publications

Artificial Intelligence Opinion Liability, 35 Berkeley Tech. L.J. 113 (2020).

The Artificial Intelligence Black Box and the Failure of Causation and Intent, 31 Harvard J. L. & Tech. 889 (2018).

Developing an Antitrust Injury Requirement for Injunctive Relief that Reflects the Probability of Anticompetitive Harm, 13 Fordham J. Corp. & Fin. L. 329 (2008).

A Constitutional Idea-Expression Doctrine:  Qualifying Congress’ Commerce Power When Protecting Intellectual Property Rights, 18 Fordham Intell. Prop. Media & Ent. L.J. 441 (2007).

Incompletely Theorized Agreements: An Unworkable Theory of Judicial Modesty, 34 Fordham Urb. L. J. 1457 (2006).