Co-founder & CEO
Yuri Kozlov
Developed JudgeAI’s normative theory and system architecture, and built its current computational core, ontology, and product implementation.
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
Co-founder & CTO
Taaha Bajwa
AI engineer who built JudgeAI’s original product and deployment foundation. As CTO, he solves technical problems, develops engineering solutions, and works on AI infrastructure and deployment.
Co-founder & CPO
Maria Shutova
Leads JudgeAI’s product direction, client development, and partner relationships.
Contact
Discuss a pilot or partnership.
For AI teams, dispute-resolution institutions, public-sector innovation teams, and deeptech investors, the best starting point is a short call: in 30 minutes, we can discuss the product modes, evidence room, and current level of the executable prototype.
Schedule a call