Stanford CodeX, the Center for Legal Informatics, is a joint research center between Stanford Law School and the Stanford Computer Science Department.
Here, researchers, lawyers, entrepreneurs and technologists work side-by-side to advance the frontier of legal technology, bringing new levels of legal efficiency, transparency, and access to legal systems around the world.
The centre also nurtures a dynamic community of scholars, technologists, and legal experts committed to developing and implementing innovative technologies to address tangible legal issues.
Jus Mundi leverages AI to democratise legal knowledge and empower global legal professionals. By offering accelerated productivity, comprehensive legal intelligence, and data-driven solutions for arbitration and business development, we connect legal ecosystems to drive impactful results and power global justice through technology.
Roland Vogl, CodeX Executive Director and Cofounder #judge #grandfinale LIGHTNING TALK: ‣
Jay Mandal, Fellow LIGHTNING TALK: ‣
John Ferro, Tech Lead #judge #firstround LIGHTNING TALK: ‣
Julia Zeidan, Senior Product Manager - AI R&D
Thomas Dieumegard, Senior Back-end Engineer
In the evolving landscape of international arbitration, lawyers are expected to synthesize massive documents and records, apply the law, and construct arguments that stand up before tribunals.
Today, some AI tools can answer basic legal questions. But almost none can test the strength of a legal strategy, deconstruct an argument’s logic, find precedent based weaknesses, and suggest superior alternatives. That’s where you come in. 🫵
Arbitration is how the world’s biggest disputes are resolved: globally, and without courts.
When companies clash with governments or when massive infrastructure projects get delayed due to unforeseen crises (like cyberattacks, pandemics, or political turmoil), they don’t go to public courts; they go to arbitration tribunals. These are legal battles, where decisions are enforceable worldwide and billions of dollars, reputations and diplomatic relationships are on the line. ⚓ One weak claim theory can sink all of it.
Your mission is to build an LLM-powered solution that acts as a strategic co-counsel for arbitration lawyers. It’ll be able to help a user on a complex legal task: building a ✨ winning legal strategy. This means the user will submit their strategy and some relevant information on their case and AI will review the user’s legal strategy, find factual and legal weaknesses, test it against jurisprudence, and recommend stronger alternatives with a compelling visual output.