CEO
Yuri Kozlov
Lawyer responsible for JudgeAI’s legal logic and algorithmic foundation.
Project
About JudgeAI.
JudgeAI is a deeptech project about computable normative choice: how an automated system can construct a legal decision through actors, admissible options, causal consequences, and a verifiable criterion of choice.
Why it exists
Three years of R&D around one problem.
Modern AI systems can already write legal text, find arguments, and imitate the style of judicial reasoning. The next layer is harder: the system must understand who a decision affects, which dependencies change, what consequences are triggered, and why one option is normatively better than another.
JudgeAI was built as an answer to that task. The project began with automated dispute resolution, expanded into lawmaking, and was eventually generalized into a broader technology: Normative Universe Engine, where a legal situation is modeled as a space of possible legal worlds.
Today the project includes the Law as Computation research foundation, a working platform prototype, a public evidence room, and benchmark reports for AI Arbitration and AI Lawmaking.
Leadership team
Project team
CTO
Taaha Bajwa
AI developer responsible for training, deployment, and monitoring of JudgeAI’s advanced AI workflows.
CPO
Maria Shutova
Responsible for client acquisition and relationship management at JudgeAI.
Contact
Discuss a pilot, partnership, or demo session.
For AI teams, dispute-resolution institutions, public-sector innovation teams, and deeptech investors, the best starting point is a short demo: in 30 minutes, you can see the product modes, evidence room, and current level of the executable prototype.
Book demo