Professor & Osler Chair in Business Law

Jackman Law Building
Room J360
78 Queen's Park
Toronto, Ontario M5S 2C5

Tel.: 416-946-8205

Professor Benjamin Alarie bridges the worlds of tax law, artificial intelligence, and the future of law practice. He co-founded Blue J, a leading North American AI-powered legal tech company, which is transforming tax law through innovative software. As a legal academic holding the Osler Chair in Business Law at the University of Toronto, he spearheads research on AI's impact on law and shares his insights through peer-reviewed scholarship.

Professor Alarie is a regular contributor to Tax Notes, where he explores the ethical and practical implications of AI in tax practice.

In The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better (2023), Professor Alarie argues that AI has the potential to revolutionize the legal landscape, making it radically more efficient and accessible.

An educational documentary, The A.I. Taxman (2022), recounts the early story of Blue J and outlines a vision of how artificial intelligence is going to affect tax law in the coming decades.

Professor Alarie is  a frequently invited keynote speaker, often addressing academic and professional groups around the world on AI, taxation, and the future of law.

Professor Alarie on LinkedIn and Google Scholar.

Education
LL.M. - Yale Law School (2003)
J.D. - University of Toronto (2002), with honours
M.A. - University of Toronto (2002)
B.A. - Wilfrid Laurier University (1999), with high distinction
Academic appointments
Faculty Affiliate, Vector Institute for Artificial Intelligence
Faculty Affiliate, Schwartz Reisman Institute for Technology and Society
Awards and distinctions
Alan Mewett QC Prize for Excellence, University of Toronto Faculty of Law Students' Law Society (2009)
Selected publications

The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better (University of Toronto Press, 2023), with Abdi Aidid (Amazon).

"How Artificial Intelligence will Affect the Practice of Law" (2018) 68 University of Toronto Law Journal 106, with Anthony Niblett and Albert Yoon (JSTOR).

"The Path of the Law: Towards Legal Singularity" (2016) 66(4) University of Toronto Law Journal 443 (SSRN).

"Using Machine Learning to Predict Outcomes in Tax Law" (2016) 58(3) Canadian Business Law Journal 231, with Anthony Niblett and Albert Yoon (SSRN).

"The Rise of Generative AI in Tax Research" (May 29, 2023) Tax Notes Federal (SSRN).

"The Ethics of Generative AI in Tax Practice" (July 31, 2023) Tax Notes Federal (SSRN).

"Automated Tax Planning: Who's Liable When AI Gets It Wrong?" (September 25, 2023) Tax Notes Federal (SSRN).

"Will AI Replace Tax Practitioners?" (October 30, 2023) Tax Notes Federal (SSRN).

"AI and the Future of Tax Avoidance" (December 4, 2023) Tax Notes Federal (SSRN).

"Generative AI for Tax: Looking Back, Looking Ahead" (February 5, 2024) Tax Notes Federal (SSRN).