Predictive Analytics in Law (Algorithms in Public Policy)
Friday, March 31 · 12 - 1pm CDT
Anthony Niblett an Associate Professor and Canada Research Chair in Law, Economics, & Innovation at the University of Toronto will present.
About the event
Predictive analytics are becoming an important part of legal practice. One aspect of this is the ability to use predictive analytics to forecast the outcomes of cases. These tools provide opportunities for lawyers to provide faster, clearer and more accurate advice. They also, however, raise concerns if courts use them to help with decision-making or triage the backlog of cases. This presentation will cover both the opportunities and pitfalls of predictive analytics in the legal profession and how these might be addressed.
Anthony Niblett is an Associate Professor and Canada Research Chair in Law, Economics, & Innovation at the University of Toronto Faculty of Law. Professor Niblett researches law & economics, innovation, contracts, judicial behaviour, and competition policy. He is also the Academic Advisor at the Future of Law Lab at the Faculty and an Affiliate Researcher with the Vector Institute for AI. Professor Niblett teaches Contracts, Torts, Competition Policy, Economic Analysis of Law, Law & New Technologies, and Legal Methods.
Bio
Anthony Niblett is an Associate Professor and Canada Research Chair in Law, Economics, & Innovation at the Faculty of Law. Professor Niblett researches law & economics, innovation, contracts, judicial behaviour, and competition policy. He is also the Academic Advisor at the Future of Law Lab at the Faculty and an Affiliate Researcher with the Vector Institute for AI. You can find some of his research papers here.
Professor Niblett holds a Ph.D. in economics from Harvard as well as degrees in law and commerce from the University of Melbourne. He was a Bigelow Fellow at the University of Chicago before moving to Canada.
Professor Niblett teaches Contracts, Torts, Competition Policy, Economic Analysis of Law, Law & New Technologies, and Legal Methods.
In 2019, Professor Niblett gave a TEDx talk on machine learning and law.
In addition to his academic career, Professor Niblett is a co-founder of Blue J, a legal tech startup that helps predict legal outcomes in tax and employment law.