Toronto
Benjamin
Alarie
Building the AI reshaping tax.
Writing about what it means for law.
Building the AI reshaping tax.
Writing about what it means for law.
Benjamin Alarie has spent more than a decade applying artificial intelligence to tax and law. He holds the Osler Chair in Business Law at the University of Toronto and is co-founder and CEO of Blue J, whose generative AI platform is used at thousands of accounting and law firms. He is co-author of Superjustice (Oxford University Press, 2026) with Samuel Becher, and of The Legal Singularity (University of Toronto Press, 2023, with Abdi Aidid), which won the AAP PROSE Award.
Benjamin Alarie has spent more than a decade applying artificial intelligence to tax and law. In 2016 he coined the term "legal singularity" in the University of Toronto Law Journal, arguing that artificial intelligence would eventually make legal reasoning far more predictable, coherent, and accessible. He has since developed the thesis in two books and put it into practice by building a company.
Superjustice (Oxford University Press, July 2026), co-authored with Samuel Becher, examines how AI can reshape public legal systems. The Legal Singularity (University of Toronto Press, 2023), co-authored with Abdi Aidid, won the 2024 AAP PROSE Award and was shortlisted for the Donner Prize. Blue J, which he co-founded in 2015 and leads as CEO, is an AI research platform used at thousands of accounting and law firms.
He holds the Osler Chair in Business Law at the University of Toronto, where he has held the chair since 2016 and been a full professor since 2018. He holds an LLM from Yale Law School and clerked at the Supreme Court of Canada for the Honourable Madam Justice Louise Arbour.
Benjamin Alarie has spent more than a decade applying artificial intelligence to tax and law. In 2016 he coined the term "legal singularity" in the University of Toronto Law Journal, arguing that artificial intelligence would eventually make legal reasoning far more predictable, coherent, and accessible. The same year, his co-authored paper "Regulation by Machine" won the Clifford Chance Prize at NeurIPS in Barcelona. Since then he has developed the thesis in two books and put it into practice by building a company.
Superjustice: Law in the Age of Artificial Intelligence (Oxford University Press, July 2026), co-authored with Samuel Becher, examines how AI can reshape public legal systems. The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better (University of Toronto Press, 2023), co-authored with Abdi Aidid, won the 2024 AAP PROSE Award and was shortlisted for the Donner Prize. He also co-authored Commitment and Cooperation on High Courts (Oxford University Press, 2017) and was a co-author of Canadian Income Tax Law through its sixth edition. His peer-reviewed scholarship on tax law, judicial decision-making, and the computational future of legal reasoning has appeared in the University of Toronto Law Journal, the Canadian Tax Journal, the British Tax Review, and the American Business Law Journal, among others.
Blue J, which he co-founded in 2015 and leads as CEO, is an AI research platform used at thousands of accounting and law firms, including several of the Big Four. It began as a commercialization of his academic work on machine prediction of legal outcomes and now anchors a growing category of vertical AI in professional services.
He holds the Osler Chair in Business Law at the University of Toronto, where he has held the chair since 2016, been a full professor since 2018, and previously served as Associate Dean of the First Year Program from 2011 to 2015. He holds a BA in economics from Wilfrid Laurier University, an MA in economics from the University of Toronto, a JD from the University of Toronto, and an LLM from Yale Law School. He clerked at the Supreme Court of Canada for the Honourable Madam Justice Louise Arbour.
He lives in Toronto with his partner Khrista and their two daughters.
Today's legal systems were not built for the AI age. Superjustice reimagines them. A book about what justice can become when the constraints of scarcity, delay, and inconsistency are relaxed by computation.
How AI can make law more predictable, coherent, and fair. An argument for a future state in which law becomes functionally complete, and for what a profession built around that transformation will look like.
Keynotes and conversations on the computational transformation of law, the economics of professional services, and what it takes to build a durable AI-native company in a regulated domain.
The thesis, the evidence, and what a profession built around prediction looks like in practice. Versioned for legal, academic, and generalist audiences.
When computation removes scarcity from the production of legal reasoning, what becomes possible that was not before. Based on the forthcoming Oxford book.
A prescriptive account for tax authorities, policymakers, and treasury officials: how AI can reduce administrative burden, improve compliance, and make tax law more legible to the people it governs. Available in a technical version on prediction and audit-grade reasoning.
A decade of lessons from founding and scaling Blue J. Strategy, defensibility, content, talent, capital, and the shape of enterprise AI in professional services.
All media, interview, and speaking inquiries.
Direct download: CV, headshot, and covers (Superjustice, The Legal Singularity). Bios in three lengths are above. Interview and booking requests via Fortier PR.
