Anthony Niblett

Canada Research Chair in Law, Economics, and Innovation

Tier 2 - 2013-05-01
Renewed: 2021-01-01
University of Toronto
Social Sciences and Humanities Research Council

Research summary

Legal problems are prediction problems. Lawyers need to predict how the law applies to new situations to better advise clients; judges need to predict the consequences of their decisions. Better predictions make for a better legal system. Dr. Niblett researches how artificial intelligence can make better legal predictions with machine learning, showing how computers can "think" like a lawyer. He investigates the opportunities and challenges of using artificial intelligence to improve legal decision-making. His research explores how algorithms will change the structure of law, forcing us to address the (ultimately human) question: what exactly do we want the law to do?