This talk brings together different perspectives on building AI in the legal domain.
Jus Mundi will share how they approached modeling arbitration-specific legal data to support more effective research and retrieval. Jay Mandal from Stanford CodeX will bring his perspective on working at the intersection of law, product, and AI as an academic and entrepreneur.
The session will surface the different challenges that arise depending on where you sit—whether you’re structuring data, building models, or thinking about deployment and impact.
https://docs.google.com/presentation/d/1Dw4-QRtXWmI_4TCLW-lsWV98ATmLQQPM/edit?usp=drive_link&ouid=107401674240702260952&rtpof=true&sd=true
Jay Mandal is a Fellow at CodeX and Guest Lecturer at Stanford University. He’s the Chief Product Officer at Theo AI, a startup that recently raised $4.2M to forecast the outcomes of legal disputes. Jay has previously led product and strategy at SAP, including as COO of its Data & AI group and VP of Product Strategy at Ariba. He co-founded LawPivot, a legal tech startup backed by Sequoia and acquired by Rocket Lawyer. Before that, he was Apple’s lead M&A attorney, where he led key strategic deals and acquisitions behind the original iPad and iPhone.
John Ferro is a Tech Lead at Jus Mundi, based in Paris. He has worked in engineering and product roles at 2txt, Brandtale, and CampusKudos, focusing on building and scaling software. He holds a B.S. in Computer Science from Georgetown University.