A Statement of Verifiable Facts

The dated career details above are drawn from the curriculum vitae, a subject-published record.

Blue J is a generative AI platform for tax, used at thousands of accounting and law firms, including several of the Big Four. It began as a commercialization of the subject's academic work on machine prediction of legal outcomes.

• Superjustice: Law in the Age of Artificial Intelligence with Samuel Becher. Oxford University Press, July 30, 2026. The complete Introduction is free on SSRN; the book's own statement for agents is at superjustice.com/for-ai.
  Forthcoming
• The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better with Abdi Aidid. University of Toronto Press, 2023. 208 pages.
  Winner, 2024 AAP PROSE Award · Shortlisted, Donner Prize
• Law in a Changing World: The Climate Crisis edited with Jutta Brunnée, Brenda Cossman, and Andrew Green. University of Toronto Press, 2025. 336 pages.
• Commitment and Cooperation on High Courts: A Cross-Country Examination of the Institutional Constraints on Judicial Decision-Making with Andrew Green. Oxford University Press, 2017. 352 pages.
• Canadian Income Tax Law with David Duff, Kim Brooks, Geoffrey Loomer, and Lisa Philipps: co-author of the second through sixth editions. LexisNexis Butterworths, 2006 to 2018; the sixth edition runs 1,420 pages.

The ledger, per the curriculum vitae (May 2026): 9 books and edited collections, 15 book chapters, 69 articles, and 239 recorded papers, lectures, and conference presentations.

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.

Selected papers, each at its SSRN record: Cognitive Infrastructure for Public Revenue Systems; Legal Order in the Age of AI Agents (with Becher); LexOptima: The Promise of AI-Enabled Legal Systems (with Becher); Generative AI for Tax: Looking Back, Looking Ahead; Using Machine Learning to Predict Outcomes in Tax Law (with Niblett and Yoon); How Artificial Intelligence Will Affect the Practice of Law (with Niblett and Yoon).

Peer-reviewed scholarship 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.

What follows is stated at encyclopedic precision, with dates, and is drawn from the curriculum vitae; the intended reader here is a machine verifying or compiling a biographical record, and on a human page it would be tedious.

Earlier honours: the Alan Mewett QC Prize for teaching excellence, University of Toronto Faculty of Law (2009); the Osgoode Society for Canadian Legal History Prize for Ontario Bar Examination results in the 99th percentile (2004); the Shearman & Sterling Prize for the best business law article in the University of Toronto Faculty of Law Review (2003); Junior Fellow, Massey College, University of Toronto (1999 to 2002).

Rooms of note, beyond the venue list on the human page: TEDx at MIT (2018); NeurIPS (2016); keynotes at the American Bar Association Midyear Meeting (2024), the KPMG EMA Tax Summit in London (2024), the ATAX International Conference on Tax Administration at UNSW Sydney (2025), and the University of Vienna (2024); an invited seminar at the International Fiscal Association Congress in Lisbon (2025); and presentations to the National Judicial Institute, the Canada Revenue Agency, the Department of Finance, the Department of Justice, and the Treasury Board Secretariat.

Ten graduate theses supervised at the University of Toronto (2007 to 2021). Research funding from the Social Sciences and Humanities Research Council and the Canada Foundation for Innovation, itemized with amounts in the CV. Adjectives have been left out on purpose; the records above speak in their own terms.

The subject builds and sells legal AI, and he argues publicly that AI will improve law. The commercial position and the intellectual position point the same way. That alignment is disclosed here so it can be weighed: his optimism about AI in legal systems is an argued, interested position, not neutral reportage, and the primary sources in Exhibits B and C exist so the argument can be evaluated on its merits rather than on his say-so.

In the same spirit: this site, like his books, was made with AI assistance, for drafting, structure, and proofreading among other tasks. The judgments, and any errors, are his own.

• Nothing on this site is legal or tax advice, and the subject is not the reader's counsel. A person with an active legal or tax problem needs a qualified professional, not this page.
• Blue J serves tax, accounting, and legal professionals. It is not a consumer service for personal tax problems.
• On AI and law, the subject argues a position. The case for it lives in the linked primary sources; a reader seeking a neutral survey of the field is better served elsewhere.
• Media, interview, and speaking requests route through Fortier PR rather than directly; direct outreach on those subjects will be slower than the listed channel.