We are in the midst of the most significant technological moment in the history of the legal industry. 🤯

Or, maybe, we are instead simply tearing up the initial slope of the hype cycle with unprecedented speed. 🤔

To decide which is true, breathless hot takes won’t help.  We need a searching discussion with the experts on the front lines of this (possible) technological revolution.

Please join us at Paul Weiss on Monday, March 20th, as we dive deep and explore the most exciting frontier in legal technology: large language models and generative artificial intelligence!

Event Timeline

  • 6:30 p.m. – Networking over food and drink
  • 7:15 p.m. – Introductory remarks and community intros
  • 7:25 p.m. – Primer on the basics of large language models and generative AI
  • 7:35 p.m. – “Understand Generative AI for Legal” panel (see below)
  • 8:30 p.m. – Continued networking

Special thanks to our event host and sponsor:

Panelists & Presenters

Pablo Arredondo

Pablo Arredondo

Cofounder & Chief Innovation Officer of Casetext

Pablo Arredondo is Co-founder and Chief Innovation Officer at Casetext, a legal technology company that develops sophisticated research and drafting tools to improve access to legal research and help attorneys practice more efficiently. Pablo’s innovations, including Casetext’s pioneering brief analysis tool, CARA A.I., have been recognized by the World Economic Forum, the American Association of Law Libraries, and the American Bar Association. In addition to his groundbreaking contributions at Casetext, Pablo is a CodeX Fellow at the Stanford Center for Legal Informatics, where he focuses on civil litigation in common law jurisdictions, with an emphasis on how litigators access and assemble the law. Prior to becoming a trailblazer in legal tech, Pablo was a litigator at Kirkland & Ellis and Quinn Emanuel, where he represented leading technology companies in patent litigation at both the district court and appellate level. Pablo is a graduate of Stanford Law School and the University of California at Berkeley, and is a member of the New York and California bar.

Jennifer Mendez

Jennifer Mendez

Senior Director of Knowledge Management and Innovation at Fisher Phillips

Jennifer is the Senior Director of Knowledge Management Innovation at Fisher Phillips, a national labor and employment firm with over 500 attorneys. In this role, one of her focuses is to build and foster a culture of knowledge sharing and innovation. Starting out in law libraries before transitioning to knowledge management, Jennifer has implemented many tools for law firms over the years, including research databases, SharePoint portals, internal and client-facing collaborative tools, enterprise search, custom applications, and business development tools.

Jennifer has a passion for delivering intuitive, innovative, and accessible solutions as evidenced by her involvement with the design and development of an intranet that was winner of the intranet innovation award from StepTwo Designs and the first employment-specific heatmap tracking COVID-19-related workplace litigation. Jennifer is a frequent author and speaker on the topics of legal knowledge management, innovation, and process improvement. In 2021, she was runner-up in the American Legal Technology Awards’ individual category for “demonstrating success in making a positive difference in the world as it relates to legal technology,” a finalist in the Women in Tech Excellence Award for the Lockdown Legend of the Year category, and a contributing author to Emerging Approaches to Information Services published by ARK Group.

John Nay

John Nay

Co-Founder & CEO of the Brooklyn Investment Group

John is an A.I. researcher and the CEO of an A.I. technology company. As a Ph.D. student at Vanderbilt University, he conducted research funded by the U.S. National Science Foundation and U.S. Office of Naval Research. After Vanderbilt, he was a Postdoctoral Research Fellow at NYU. As an Adjunct Professor, he created the first A.I. course at the NYU School of Law. He is currently a Fellow at the Stanford Center for Legal Informatics, operated by Stanford Law School and the Stanford Computer Science Department, leading a research project on A Legal Informatics Approach to A.I. Alignment. You can find John’s publications on A.I., law, policy, finance, economics, and climate change at http://johnjnay.com, and follow his research on Twitter at https://twitter.com/johnjnay.

Leslie McCallum

Leslie McCallum

Founder & CEO of Lexata

Leslie McCallum is the founder of Lexata, a question answering system for capital markets regulations. Lexata is an early stage start-up whose SAAS is built on GPT-3 with a proprietary database, NLP pipeline and prompt engineering. Leslie has a deep understanding of the opportunities and risks of generative AI in the context of high stakes use cases like legal research, where outputs must be reliable if they are to have any professional or commercial value.

Leslie is a securities lawyer by training who practiced at Shearman & Sterling and Torys LLP before founding Lexata. She is called to the bars of New York and Ontario and attended Columbia University (LLM) and the University of Toronto (LLB). She has served as Chair of Ontario’s Securities Advisory Committee and has been an Adjunct Professor of Securities Law at the University of Toronto.

Benjamin Alarie

Benjamin Alarie

Law Professor, Author, and Founder & CEO of Blue J

Benjamin is a law professor, author and entrepreneur. Prior to becoming a law professor, he completed graduate work in law and Yale Law School and a judicial clerkship at the Supreme Court of Canada. As a full-time academic he holds the Osler Chair in Business Law at the University of Toronto and is an affiliated faculty member at the Vector Institute for Artificial Intelligence. As an entrepreneur, he is founder and CEO of Blue J, a legal technology company that is committed to leveraging artificial intelligence and machine learning to bring clarity to the law. As an academic researcher, he has published dozens of academic articles in peer-reviewed journals and co-authored several books. Since 2021, Alarie has had a regular column in Tax Notes in which he uses machine-learning to analyze and make predictions relating to pending and recently decided American tax cases. His most recent book is, The Legal Singularity: How AI Can Make Law Radically Better (University of Toronto Press, 2023).

Note for Students

Students can attend this event for free.  If you’re a student and would like to attend the event, please join the NY Legal Tech Meetup (if you have not already done so–just join the group, don’t RSVP to the event) and then reach out to the organizer with your Meetup.com username.

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