Associate Professor, Member of the EDHEC Augmented Law Institute

Speciality : Law
Expertise : Law & Economics, Empirical Legal Studies

24 avenue Gustave Delory
CS 50411,
59057 Roubaix Cedex 1 - France

Tél : + 33 (0)3 20 15 45 00
Fax : + 33 (0)3 20 15 45 01

Email : frank.fagan@edhec.edu



Frank Fagan, Ph.D, is an Associate Professor of Law and a member of the EDHEC Augmented Law Institute. His teaching and writing considers the interplay of artificial intelligence and law. His empirical work uses natural language processing techniques to examine contract and corporate law doctrine. His theoretical work considers the impact of AI on contract law, corporate law, bail and sentencing, and the First Amendment. Work in progress includes empirical analysis of the complete corpus of U.S. contractual good faith case law and theoretical analysis of the strengths and limitations of algorithms in law. Papers can be viewed at http://ssrn.com/author=468606.


Main academic publications

NYU Journal of Law & Business (2020), Southern California Law Review (2019), Review of Law & Economics (2019), European Journal of Law and Economics (2019), Cornell Law Review (2018b), Duke Law & Technology Review (2018), Cornell Law Review (2018a), Virginia Journal of Law and Technology (2016), Virginia Law and Business Review (2015), International Review of Law and Economics (2015), West Virginia University Law Review (2014), European Journal of Law and Economics (2013)

Documents to download

CV - Frank Fagan, PhD...
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EDHEC Publications

NYU Journal of Law & Business, Volume 16, Number 3, pp633-82, 2020
GNLU Journal of Law and Economics, Vol. 2 pp. 69 - 78, December 2019
Southern California Law Review, November 2019, Volume 93, Issue 1, pp1-36
European Journal of Law and Economics, February 2019, Volume 47, Issue 1, pp1–14