Benjamin
Alarie
Building the tools that are making law computable, and writing about why that matters.
Building the tools that are making law computable, and writing about why that matters.
Benjamin Alarie is the CEO and co-founder of Blue J, an AI-native tax research platform serving more than 5,000 organizations worldwide, including Big Four accounting firms. He holds the Osler Chair in Business Law at the University of Toronto. He is the co-author of Superjustice (Oxford University Press, 2026) with Samuel Becher, and of The Legal Singularity (University of Toronto Press, 2023) with Abdi Aidid.
Benjamin Alarie is the CEO and co-founder of Blue J, the AI-native tax research platform he founded in 2015 as a commercialization of his academic work on machine prediction of legal outcomes. Blue J is now a category-defining product in computational tax analysis, serving more than 5,000 organizations including Big Four accounting firms.
He is a full professor at the University of Toronto Faculty of Law, where he has held the Osler Chair in Business Law since 2016. He holds an LLM from Yale Law School and clerked at the Supreme Court of Canada for the Honourable Madam Justice Louise Arbour.
He is the co-author of Superjustice (Oxford University Press, July 2026) with Samuel Becher, and of The Legal Singularity (University of Toronto Press, 2023) with Abdi Aidid, which won the AAP PROSE Award and was shortlisted for the Donner Prize. He coined the term "legal singularity" in 2016.
Benjamin Alarie coined the term legal singularity in April 2016. He developed the thesis in The Legal Singularity (University of Toronto Press, 2023), co-authored with Abdi Aidid. He extends it to institutional design in Superjustice: Law in the Age of Artificial Intelligence (Oxford University Press, July 2026), co-authored with Samuel Becher. Blue J and the teaching work are built on the same intellectual foundations.
He is a full professor at the University of Toronto Faculty of Law and has held the Osler Chair in Business Law since 2016. He served as Associate Dean of the First Year Program from 2011 to 2015, and is one of the youngest people ever to hold a tenure-track position at the school, appointed at age 26.
He holds a BA in economics from Wilfrid Laurier University (with high distinction), an MA in economics from the University of Toronto, a JD from the University of Toronto (with honours), and an LLM from Yale Law School. He clerked at the Supreme Court of Canada for the Honourable Madam Justice Louise Arbour.
Blue J is building the cognitive infrastructure for tax and law. Founded in 2015 as a commercialization of academic research on machine prediction of legal outcomes, it now serves more than 5,000 organizations across North America and Europe, including Big Four accounting firms.
The Legal Singularity won the 2024 AAP PROSE Award and was shortlisted for the Donner Prize. In 2022 he was named to the Globe and Mail's Top 50 Changemakers list. In 2016 he received the Clifford Chance Prize at NeurIPS in Barcelona for his paper "Regulation by Machine." He also co-authored Commitment and Cooperation on High Courts (Oxford University Press, 2017) and was a co-author of the leading casebook Canadian Income Tax Law through its sixth edition. His scholarship spans tax law, judicial decision-making, economic analysis of law, and the computational future of legal reasoning, with peer-reviewed articles in the University of Toronto Law Journal, the Canadian Tax Journal, the British Tax Review, the American Business Law Journal, and many others.
He met his wife in high school and they have been inseparable ever since. They live in Toronto with their two daughters. Together the family spent five years hiking the full length of the Bruce Trail, more than 900 kilometres, almost entirely on weekends.
The Legal Singularity (2023) argues law is becoming computable. Superjustice (2026) asks what justice becomes when it is.
The origin thesis. Coined the term in 2016, built the full argument in 2023: accelerating AI capability, applied to the structural features of law, drives toward predictable, accessible, consistent legal outcomes.
The institutional argument. If law becomes computable, the institutions built around scarcity, delay, and inconsistency lose their reason for being. This book describes what replaces them.
Keynotes on the computational transformation of law, the economics of professional services, and building durable AI-native companies.
All media, interview, and speaking inquiries.
Bio (three lengths), high-resolution headshots, book covers, speaking topics, and complete CV. Available on request via Fortier PR.