As generative AI continues to push the frontier of industries across the globe, the legal sector is no exception. LLMs, a foundation model capable of understanding and generating natural language text, have the potential to transform legal research, contract analysis, dispute resolution, and much more.
This hackathon hopes to build solutions that consider the safe and trustworthy integration of LLMs for legal work. Join us for the fifth edition of the LLM x Law Hackathon! We encourage you to think boldly, creatively, and across multiple dimensions!
This hackathon will have 2 tracks:
First-Build Track: This is your typical generalist hackathon style submission – show off your dev skills using the most cutting-edge AI tools as you build & ship the best legal hack possible during the hackathon!
VC Competition Track: Bring your ongoing Legal Tech project/startup and continue shaping it during the Hackathon. This track is ideal for showcasing your work and products you have built. You will be judged separately by a panel of esteemed VCs.
Hosted by: Stanford Center for Legal Informatics (https://law.stanford.edu/codex-the-stanford-center-for-legal-informatics/)
Hosted by:
Megan Ma (Stanford CodeX)
Pierre-Loïc Doulcet (Stanford CodeX, LlamaIndex.ai)
Opening Keynote and Ceremonies:
Pablo Arredondo (Thomson Reuters)
Vedant Suri (General Catalyst)
Sponsors:
Jus Mundi
Koyeb
LlamaIndex
Thomson Reuters
Judges:
Vedant Suri (General Catalyst)
Pablo Arredondo (Thomson Reuters)
Mallun Yen (Operator's Collective)
Katya Fisher (Aracor)
Pablo Lleras (StartX)
Tom Ault (Bloomberg Law)
Sourabh Madur (Meta)
Shreya Rajpal (Guardrails AI)
Andrew Antos (Klarity)
Monica Zent (ZentLaw)
Iris Skornicki (Paul Weiss)
Ashish Agrawal (Eudia)
Urvashi Barooah (Redpoint Ventures)
Brent Goff (DWT)
Daniel Szabo (DWT)
Jeff Sabado (DWT)
Nate Jedinak (Vorys)
Mentors:
Pierce Kelaita (AI Collective)
Anil Katti (Uttara Labs)
Alex Mac (Truth Systems)
Bob Kingan (Bloomberg Law)
Campbell Hutcheson
Marzieh Nabi (CodeX)
Arvind Sujeeth (Billables AI)
Yash Singhal (CaseDocker)
Elizabeth Wilkinson (Paul Weiss)
Lauren Hudson (Paul Weiss)
Trupti Bavaletti (Meta)
Ying Li (Meta)
George He (LlamaIndex)
Arghya Bhattacharya (Adalat AI)
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