Benjamin Alarie
Building the AI reshaping tax.
Writing about what it means for law.
Out now Superjustice, from Oxford University Press. Print, ebook, and audio →
Speaking & media inquiries →
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i.
Legal reasoning is becoming abundant. Judgment and responsibility are not.
AI is turning the searching, synthesis, and drafting that consumed expert time into cheap, fast work that can be checked against sources. It does not decide which question matters, weigh competing positions, or accept responsibility for the answer. Law assigns accountability to people and institutions, and abundance changes where judgment is spent, not whether it is needed.
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ii.
AI can make law radically more knowable, accessible, and responsive.
The argument I have made since naming the legal singularity in 2016: computation can make legal reasoning more predictable, coherent, and available to the people law governs, so that competent guidance stops being a luxury good.
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iii.
Institutions should be redesigned around what computation now makes possible.
Systems built for scarce expertise, slow process, and inconsistent outcomes should not merely be automated. Superjustice makes the institutional case; Blue J tests the abundance thesis in production.
A note on who I am.
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 for tax is used at thousands of accounting and law firms. He is co-author of Superjustice (Oxford University Press, 2026) with Samuel I. 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 I. 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 tax 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 I. 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 tax research platform used at thousands of accounting and law firms; VentureBeat reported in November 2025 that the platform then served several thousand organizations, among them KPMG UK, Crowe, RSM, and Larson Gross. 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 is a Faculty Affiliate of the Schwartz Reisman Institute for Technology and Society at the University of Toronto. He lives in Toronto.
Two arguments about the same future.
- 2016The paper names the legal singularity.
- 2023The Legal Singularity, with Abdi Aidid, argues prediction can make law complete and knowable.
- 2026Superjustice, with Samuel I. Becher, asks how legal systems should be redesigned as legal reasoning becomes abundant.
- NowBlue J applies the trajectory to tax, in production at thousands of firms.
Superjustice
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.
The Legal Singularity
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.
Talks given, rooms held.
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 Legal Singularity
The thesis, the evidence, and what a profession built around prediction looks like in practice. Versioned for legal, academic, and generalist audiences.
Superjustice
When computation removes scarcity from the production of legal reasoning, what becomes possible that was not before. Based on the Oxford book.
Tax Administration in the AI Era
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.
Building Vertical AI
A decade of lessons from founding and scaling Blue J. Strategy, defensibility, content, talent, capital, and the shape of enterprise AI in professional services.
- 22 Sep 2026 Creative Destruction Lab, University of Toronto Reading group · Leading a discussion comparing Superjustice and Orwell’s 1984.
- 28 Oct 2026 London School of Economics Global Tax Seminar Series · Superjustice book launch seminar, 6:30–8:00 p.m. London, in person and on Zoom, with an interdisciplinary panel of discussants.
- 29 Oct 2026 University of Cambridge Superjustice book launch seminar, Faculty of Law, 4:00–6:00 p.m., hosted by Markus W. Gehring.
- 12 Nov 2026 University of Amsterdam Keynote · International Taxation in the New Global Order, Amsterdam Centre for Tax Law.
- Stanford Law
- Oxford
- Cambridge
- University of Chicago
- Columbia Law
- NYU Law
- McGill Law
- TEDx at MIT
- Max Planck Institute
- Hebrew University
- UNSW
- NeurIPS
- American Bar Association
- International Bar Association
- Canadian Tax Foundation
- International Fiscal Association
A selected record.
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2026Superjustice: Law in the Age of Artificial Intelligence — Introductionwith Samuel I. BecherSSRN
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2026Canadian Tax Journal
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2026Legal Order in the Age of AI Agentswith Samuel I. BecherU of T Law Journal
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2025LexOptima: The Promise of AI-Enabled Legal Systemswith Samuel I. BecherU of T Law Journal
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2024Tax Notes Federal
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2023The Rise of Generative AI for Tax Researchwith Condon, Massey, and YanTax Notes Federal
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2016The Path of the Law: Towards Legal SingularityThe paper that coined the termU of T Law Journal
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2016Regulation by MachineClifford Chance Prize, NeurIPS BarcelonaNeurIPS
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2016Using Machine Learning to Predict Outcomes in Tax Lawwith Niblett and YoonCanadian Business Law Journal
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2018How Artificial Intelligence Will Affect the Practice of Lawwith Niblett and YoonU of T Law Journal
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2017Commitment and Cooperation on High CourtsBook, with Andrew GreenOxford University Press
For journalists & producers.
- 27 Aug 2026 Explain to Shane Podcast interview: data-driven decisions in the courtroom.
- 12 Aug 2026 The AmberMac Show · SiriusXM Radio and podcast interview: Zuckerberg’s AI manifesto and closing the justice gap.
- 5 Aug 2026 Marketplace Tech Radio interview: AI-driven law as an answer to accessible legal help.
- 24 Jul 2026 Law360 Pulse Article on the call for a new framework to govern legal AI. Subscription
- Summer 2026 Yale Law Report Feature on Superjustice. PDF
- 16 Jul 2026 Clearer Than Truth Podcast interview on Superjustice.
- 14 Jul 2026 Tech Snippets Today Podcast interview: Superjustice or algorithmic tyranny.
- 18 Nov 2025 VentureBeat Profile of Blue J’s pivot from predictive models to generative AI.
- 3 Aug 2025 The Globe and Mail Report on Blue J’s Series D financing. Subscription
Press contact
All media, interview, and speaking inquiries.
Press kit
Direct download: academic CV (17 pp., complete publication and teaching record), headshot, and covers (Superjustice, The Legal Singularity). Bios in three lengths are above. Interview and booking requests via Fortier PR.