Defining the future of legal with long-term investment in AI research, technologies, and education.
Solving fundamental legal problems with AI.
Scalable Knowledge-based Reasoning
- Developing AI agents capable of reasoning over massive, evolving knowledge bases.
- Developing memory-augmented models that track entity relationships over time.
Knowledge Representation and Construction
- Building AI systems that transform vast legal and enterprise document collections into structured knowledge representations.
- Enabling AI-driven insights for legal use cases that require more complex reasoning.
Adaptive Human-in-the-Loop AI Systems
- Designing AI architectures that dynamically integrate automated workflows with human expertise.
Epiq AI Labs Strategic Advisors
Academic Advisory Board
Contribute to AI advancements working with real-world data.
Tom Mitchell
Founders University Professor at Carnegie Mellon University
Ron Brachman
Visiting Professor at Cornell Tech
David Shmoys
Professor at Cornell University
Matt D’Amore
Director and Professor of the Practice, Law, Technology and Entrepreneurship Program, Cornell Tech and Cornell Law School
Industry Partners Group
Guide AI product and innovation roadmaps.
Daryl Shetterly
Managing Director of Orrick Analytics
Stephen Dooley
Director of Electronic Discovery and Litigation Support at Sullivan and Cromwell LLP
AI Strategy Group
Help define the future of legal AI technology.
Wendy Butler Curtis
Chief Innovation Officer at Orrick