Associate Professor and Canada Research Chair in Law, Economics, & Innovation & Academic Advisor to the Future of Law Lab

Jackman Law Building
Room J366
78 Queen's Park
Toronto, Ontario M5S 2C5 

Tel.: 416-978-5403

Anthony Niblett is an Associate Professor at the Faculty of Law. He joined the Faculty in 2011. In 2016, Professor Niblett was awarded the Canada Research Chair in Law, Economics, & Innovation. Professor Niblett researches law and economics, contract law, judicial behaviour, artificial intelligence, innovation, and competition policy. 

Professor Niblett recently gave a TED talk on machine learning in the law. You can see what Professor Niblett looks like and hear what he sounds like by clicking this link.

Professor Niblett holds a Ph.D. in economics from Harvard University as well as degrees in law and commerce from the University of Melbourne. Professor Niblett was a Bigelow Fellow at the University of Chicago Law School before joining the Faculty of Law.

Professor Niblett teaches Contracts, Legal Methods, Competition Policy, and Economic Analysis of Law. He was awarded the University of Toronto's Early Career Teaching Award in 2016 and the Alan Mewett QC Prize for excellence in teaching by the JD class of 2017. He has also taught courses in Australia, the United States, and China. Professor Niblett is a Faculty Affiliate Researcher with the Vector Institute for Artificial Intelligence.

In addition to his academic career, Professor Niblett is a co-founder of Blue J Legal, a startup company which brings machine learning to tax law and employment law  


Ph.D. - Economics, Harvard University (2009)
M.A. - Economics, Harvard University (2006)
LL.B. (Hon.) - University of Melbourne (2003)
B.Com. (Hon. in Econ.) - University of Melbourne (2003)
Other info



Selected publications

A Framework for the New Personalization of Law, 86 Univ. of Chicago Law Review 333 (2019) [co-authored with Anthony J. Casey]

The Death of Rules and Standards, 92 Indiana Law Journal 1401 (2017) [co-authored with Anthony J. Casey]

Regulation by MachineJournal of Machine Learning Research (W&CP) [co-authored with Ben Alarie & Albert H. Yoon]

Using Machine Learning to Predict Outcomes in Tax Law, 58(3) Canadian Business Law Journal 231 (2016) [co-authored with Ben AlarieAlbert H. Yoon]

Unintended Consequences: The Regressive Effects of Increased Access to Courts, 14(1) Journal of Empirical Legal Studies 5 (2017) [co-authored with Albert H. Yoon]

Case-by-Case Adjudication and the Path of the Law, 42(2) Journal of Legal Studies 303 (2013)

The Evolution of a Legal Rule, 39(2) Journal of Legal Studies 325 (2010) [co-authored with Richard A. Posner and Andrei Shleifer