Trusted advice on legal technology, from the people who build it.

We help Canadian courts, tribunals, law firms and clinics understand what technology can do for them, and what it cannot.

24,000+Canadians served
50+Canadian law firms use our tools

These are the questions we get asked.

From Courts & Tribunals
  • Can technology help us reduce our backlog?
  • What are other Canadian courts and tribunals doing about AI?
  • How can we make it easier for parties to electronically file large documents?
  • How do we make our forms easier to fill out?
  • Our staff answer the same questions all day. Can any of that be automated?
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From Law Firms & Clinics
  • Is this AI tool worth what they are charging?
  • What is ‘hallucination’, and how does it work?
  • We’re a small firm with no IT budget. Where do we start?
  • Can we use AI without putting privilege at risk?
  • How do we automate our client-intake process?
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Our recognition

Where Courtready has been recognized and cited.

Recognition OBA Foundation Award Co-founder Tom Macintosh Zheng is this year’s recipient of the Ontario Bar Association’s OBA Foundation Award, which recognizes exceptional contributions to the improvement of the justice system through public legal education, innovative research, or other means. Ontario Bar Association · 2026 View Published The Rise of AI-Hallucinated Case Law in Canadian Courts and Tribunals CanLII Author Program Read article CanLII research cited Enhancing trust in artificial intelligence through increased transparency Innovation, Science and Economic Development Canada Read document CanLII research cited Droit de la famille — 261234, 2026 QCCA 1092 Cited at para. 28. Court of Appeal of Québec Read decision CanLII research cited 2026 ONLSTH 112, Reasons for Decision on Costs of Motions Ontario’s Law Society Tribunal Read decision Published AI companies must be held responsible for the hallucinations that bog down courts Subscription required. The Globe and Mail Read article Referenced AI ‘gone awry’ made up case law, a Manitoba court says. Justice experts say it highlights a lack of access By Caitlyn Gowriluk · CBC News Read article Referenced AI-fabricated legal citations in Canadian courts ‘tip of the iceberg,’ expert warns By Dorcas Marfo · CTV News Read article Referenced Toronto lawyer who filed AI-generated ‘gibberish’ ordered to pay record costs award — ‘Artificial intelligence can’t think like a lawyer’ By Betsy Powell · Toronto Star Read article Referenced Canadian Lawyer survey: How Canada’s courts are regulating, using, and evaluating generative AI By Jessica Mach · Canadian Lawyer Read article Referenced Lawyer who used AI-fabricated citations hit with $31,150 in costs to LSO By Carolyn Gruske · Law Times Read article Published Canada’s national AI strategy leaves out the justice system The Hill Times Read article
Our people

A lawyer and an AI scientist.

Tom Macintosh Zheng
Tom Macintosh ZhengLegal

Tom Macintosh Zheng is the co-founder of courtready.ca and a licensed lawyer in Ontario, Canada and England. Before launching Courtready, he practised commercial litigation in downtown Toronto. Tom has appeared before the Ontario Superior Court of Justice, the Court of Appeal for Ontario, and the Federal Court of Appeal.

Tom’s research into how AI is disrupting Canadian courts has been covered by Canadian and international media, and cited by Innovation, Science and Economic Development Canada, the Court of Appeal of Québec and Ontario’s Law Society Tribunal.

Tom is this year’s recipient of the Ontario Bar Association’s OBA Foundation Award, which recognizes exceptional contributions to the improvement of the justice system.

Dr. Soheil Kianzad
Dr. Soheil KianzadTechnical

Soheil Kianzad is the co-founder of courtready.ca. He holds a PhD in Computer Science from the University of British Columbia and brings an academic and industry background in artificial intelligence, applied research, and technology-driven problem solving.

Before launching Courtready, he worked in research and engineering roles across academia and industry, focusing on building reliable, aligned AI systems and translating complex technical concepts into practical tools.

His work emphasizes responsible AI design, alignment with real-world constraints, and the deployment of scalable, trustworthy AI solutions in high-stakes domains.

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