“This beautifully written book makes a compelling case that law as we know it will change dramatically, and that justice will be the biggest beneficiary of that change. The opportunity that singularity presents is the chance to deliver – finally – on law’s promise, a promise it has so far left unfulfilled.”

Lawrence Lessig | Roy L. Furman Professor of Law and Leadership, Harvard Law School

“In The Legal Singularity, Abdi Aidid and Benjamin Alarie offer a bold and optimistic prognosis about the future of AI in law and its institutions. This book is a thought-provoking contribution to computational law scholarship and is certain to drive critical discussions in the field.”

Amy Salyzyn | Associate Professor in the Faculty of Law, University of Ottawa

“This is a powerful and important book. The fundamental insight – that artificial intelligence will transform not just the specific content of particular legal rules but also the general nature of law – is surely correct and the conclusion is impossible to ignore. The deep learning, systematic breadth, and crisp clarity with which Aidid and Alarie prosecute their argument makes The Legal Singularity essential reading for legal theorists."

Daniel Markovits | Guido Calabresi Professor of Law and Founding Director of the Center for the Study of Private Law, Yale Law School

“In their path-breaking book, the authors, both law and technology scholars and active technology practitioners, probe the potential for AI to transform most aspects of law: teaching, research, practice, judging, and the public’s access to justice. This book will become a leading source of insights and measured judgments on profound issues imminently confronting all aspects of the legal profession as an information-intensive industry.”

Michael J. Trebilcock | University Professor Emeritus, Faculty of Law, University of Toronto

“I’m not sure the legal singularity is anywhere near, or desirable. But I am sure that AI will be transformative for law and legal institutions and can, if we steer this development well, make dramatic inroads on a persistent and massive access to justice crisis. Aidid and Alarie have put together a careful case for how, indeed, to make law radically better.”

Gillian Hadfield | CIFAR AI Chair at the Vector Institute for Artificial Intelligence and Schwartz Reisman Chair in Technology and Society, Professor of Law, and Professor of Strategic Management, University of Toronto

Latest News & Articles

2024 PROSE Award

The AAP has chosen "The Legal Singularity" as the winner of this year’s PROSE Award in the category of Legal Studies and Criminology

2024 PROSE Award

Tax Chats

"Generative AI and Taxes: A Chat with BlueJ CEO Benjamin Alarie"

Tax Chats

Better Innovation

"Revolutionizing Law with AI: Benjamin Alarie and Abdi Aidid Discuss 'The Legal Singularity'"

Better Innovation

London Futurists Podcast

"The Legal Singularity, with Benjamin Alarie"

London Futurists

Great Reads Book Club

Great Reads Book Club – “The Legal Singularity” by Abdi Aidid & Benjamin Alarie

Great Reads Book Club

Canadian Lawyer

"With proper guardrails AI can make justice system more equitable, efficient and accessible: new book"

Canadian Lawyer Mag

Tax Notes

"The Rise of Generative AI For Tax Research"

Tax Notes

Blue J

Exclusive blog preview of "The Legal Singularity"

Work in Progress

How AI could transform the legal system.

The Work in Progress Blog

Law Subscribed

Podcast appearance
April 14, 2023

The Law Subscribed Podcast


The International Council for Online Dispute Resolution

The Hard Part

The Hard Part with Evan McCann, Podcast

The Hard Part Podcast

TEDx Talk

Benjamin Alarie on what comes after books on TEDx

Canadian Lawyer

"Blue J Legal co-founder Benjamin Alarie on how AI is powering a new generation of legal tech"

Canadian Lawyer

U of T News

"U of T Law profs on how AI will make the law 'radically' better"

University of Toronto News

Top Changemaker

Globe & Mail recognizes Blue J founder & CEO

The Globe and Mail


Legal prediction using AI has the potential to radically transform the law, our legal institutions, and our societies for the better. Professors Aidid and Alarie discuss the law's current shortcomings and explore how legal prediction can address them. They describe a future state of functionally complete law, where the law is much more complex and yet dramatically clearer and fairer. This must-read book explores how AI-driven legal changes may lead to the legal singularity. The Legal Singularity will inform the way you think about the future of law in the presence of advanced artificial intelligence.

sign up Here


Sign up to stay on top of how AI is making the law radically better. Unsubscribe at any time.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.


Abdi Aidid, B.A. (Toronto), J.D. (Yale Law School), LL.M. (Toronto) is a renowned expert in the fields of civil procedure, torts, and law & technology. He is currently an Assistant Professor at the Faculty of Law at the University of Toronto. In addition to his academic pursuits, Professor Aidid has practical experience as a litigator and arbitrator at Covington & Burling LLP in New York City, and as the VP of Legal Research at Blue J, where he oversaw the development of machine learning-enabled legal research tools. Professor Aidid serves as a Faculty Affiliate at the Centre for Ethics and is a member of the Ethics of AI Lab.


Benjamin Alarie, B.A. (Laurier), M.A., J.D. (Toronto), LL.M. (Yale Law School) is a renowned expert in tax law, machine learning, and law & technology. He currently holds the Osler Chair in Business Law at the University of Toronto. In addition to his academic pursuits, Professor Alarie is co-founder and CEO of Blue J, a Toronto-based legal tech company that is a world leader in using artificial intelligence to predict legal outcomes.


order The Legal Singularity.

Learn how artificial intelligence can make law radically better.


For speaking invitations and media requests.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.