LLM x Law Hackathon @Stanford

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As artificial intelligence (AI) continues to revolutionize industries across the globe, the legal sector is no exception. LLMs, a type of AI 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. This hackathon will have 2 tracks: Technical: This is your typical hackathon style submission – show off your dev skills using the most cutting edge AI tools as you build & ship the best legal hack possible! Non Technical: Non-technical builders and legal professionals, this track is for you! Bring your ideas to life using no/low-code tools and the latest AI prompts. We’re excited to see creative, strategic, and original work – and we hope you learn some hacker tricks along the way. $10K+ In Cash Prizes & Credits Hosted by: Stanford Center for Legal Informatics (https://law.stanford.edu/codex-the-stanford-center-for-legal-informatics/) Keynote Speaker: Stephen Wolfram Sponsors: Thomson Reuters Labs (https://t.ly/lwuQA) Baker McKenzie Machine Learning Practice Cohere Google Wolfram Amazon AXA Judged by: Aparna Sinha (Pear VC), Danielle Benecke (Baker McKenzie) Jesse Han (ex-OpenAI) Renee Shelby (Google) Pablo Arredondo (Casetext) Bogdana Rakova (Mozilla) Shreya Rajpal (Guardrails.ai) Jerry Liu (Llama Hub) Nicholas Broad (HuggingFace) Chen Li (Stanford Alpaca) Mentors: Leo Park (former LexMachina) Jesse Han (former OpenAI) Reuben Youngblom (MIT/Stanford) Bogdana Rakova (Mozilla) Shreya Rajpal (Guardrail.ai) Conner Swann (Intuitive Systems Inc./Boldsky) Selali Adobor (Zoox)

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