LLM x LAW Hackathon @ Toronto

As generative AI continues to redefine industries globally, the legal sector stands at the brink of transformation. Large Language Models (LLMs)—capable of understanding and generating natural language—hold immense potential to revolutionize legal research, contract analysis, dispute resolution, and beyond. Join us in Toronto for the sixth edition of the LLM x Law Hackathon, where we aim to develop safe and trustworthy applications of LLMs tailored for legal work. This event invites participants to think boldly and creatively as we explore the future of AI in law. Participants: Students and professionals in Law, Computer Science, and Engineering. Speakers: Colin Raffel - Associate Research Director at Vector Institute and Assistant Professor at University of Toronto Maura Grossman - Research Professor at the University of Waterloo, Adjunct Professor at Osgoode Hall Law School, and Affiliate Faculty at Vector Institute. Hosted by: Samuel Dahan (Queen's Conflict Analytics Lab and Deel Lab: https://conflictanalytics.queenslaw.ca) Megan Ma (Stanford CodeX: https://law.stanford.edu/codex-the-stanford-center-for-legal-informatics/) Judged by: Yuri Levin (EY/Smith Business School/MIT) Maxime Cohen (McGill) Xiaodan Zhu (Queen's Law/Vector Institute) Martin Petrin (Western Law) Sarah Sutherland (Parallax Information Consulting) Joe Marando (Fasken/Lincoln Alexander School of Law) Al Hounsell (Gowling WLG) Sam Chow (BetterUp) Lisa Yeon-Ju Mah (Ex-CDL) Mentors: David Liang (Queen's CAL/Deel Lab) Rohan Bhambhoria (Queen's/Vector Institute) Chu-Fei Luo (Queen's/Vector Institute) Rob Wan (WealthSimple) Avinash Pillay (Toronto Hydro/Ex-Queen's CAL) Khoa Nguyen (Export Development Canada/Queen's CAL)