Legal Tech for Everyone.
Practical Tools for All.
Used by tens of thousands of Canadians. Designed for everyone navigating the justice system.
Use this free tool to assess your entitlements when your flight is delayed or cancelled.
System Integration & Custom Tooling
We can integrate Courtready’s publicly available tools into your existing systems and workflows, with the option to develop additional, bespoke features tailored to your organization’s needs.
Legal Education & Training Content
We create videos and educational content for public-facing resources and internal training, including multilingual materials. Our partners include, among others, Openroom.ca and Canadians United Against Modern Exclusion.
Confidentiality-First AI Solutions for Law Firms
We design bespoke AI solutions to improve practice efficiency for lawyers. We ensure every solution respects professional confidentiality and aligns with Canadian regulatory requirements.
As Featured In:
Tom Macintosh Zheng
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. He earned a Bachelor of Arts from McGill University and a law degree from King’s College London in the UK. He also worked as a DJ before entering the legal and tech profession. Tom has been published in Mondaq, Lexology, Law360 and featured on Studying Law Around the World.
Dr. Soheil Kianzad, PhD
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.