Thomson Reuters

Agentic AI for Legal Professionals: What it means & when to expect it

Live Event Date: Sep 16, 2025

Live Event Time: 11 AM CT

Hosted by Thomson Reuters

Generative AI is already transforming the legal industry, with early adopters saving several hours a week on time-consuming research and drafting tasks. But what comes next?

The core technology providers like OpenAI, Google and Meta are already talking about “Agentic AI,” which could semi-autonomously take multi-stage actions and do work more independently from human oversight. It promises even greater savings of time – but also could look very much like allowing a non-lawyer to practice law.

Join our expert panel for a discussion of what agentic AI is right now, and what may come soon in the legal industry, including:

The difference between an AI agent and agentic AI
How agentic AI works right now, with examples outside legal
What tasks a lawyer could delegate to agentic AI
The tasks a lawyer should never delegate to any AI tool
How agentic AI will impact the business of law and interactions with clients
And more

The webinar will be broadcast September 16 at 11 AM Central. Sign up now and view live or on-demand any time afterward.

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Zach Warren

Technology & Innovation Insights Lead

Thomson Reuters Institute

Zach Warren is the manager for enterprise content for technology and innovation with the Thomson Reuters Institute. At Thomson Reuters, Zach charts the future of professional services industries, including legal, tax, and risk & fraud, through writing, podcasts, and more. He has been writing and speaking on tech and innovation for a decade, and before coming to Thomson Reuters, Zach was the editor-in-chief of ALM’s Legaltech News. Zach lives in Minneapolis with his wife and two dogs, and has a bachelor’s from Northwestern’s Medill School of Journalism and an MBA from Minnesota’s Carlson School of Management.

Matthew Beekhuizen

Chief Pricing and Innovation Officer

Greenberg Traurig

As Greenberg Traurig’s Chief Pricing and Innovation Officer, Matthew Beekhuizen oversees firm-wide pricing, financial management of alternative fee matters, and the application of technology and process solutions for enhanced efficiency and client service. His role also encompasses the evaluation and deployment of generative AI applications. Leading a multifaceted team of specialists, he collaborates with clients, attorney teams, practice leaders, and executive management to deliver these services.

Patrick Wagstrom

Principal Engineer

Thomson Reuters Labs

For over 25 years, Patrick Wagstrom has been working at the forefront of large-scale, data-centric systems and AI/ML. His expertise spans research, development, and management of AI solutions across diverse sectors, including finance, telecom, technology, industrial research, and retail. From intelligent chatbot frameworks to comprehensive machine learning platforms, and even a food truck powered by generative AI, his work is characterized by deep problems and large amounts of data that push the boundaries of what is possible. As an AI Architect at Thomson Reuters, he is shaping the future of AI-driven systems, focusing on autonomous agents capable of planning, reasoning, and executing complex tasks. He holds a Ph.D. from Carnegie Mellon University and currently resides in "the Basketball Center of the World", which is also known as rural Connecticut.

Richard Tsay

Director of Knowledge Management, M&A/PE

McDermott Will & Schulte

Richard works on developing, testing, and deploying generative AI tools for legal applications and workflows at McDermott and manages the knowledge management functions regarding M&A and Private Equity. Before focusing on generative AI, Richard served as a transactions associate at McDermott and this experience, along with hands-on experimenting with AI models, guides his judgement on what works in practice and what does not. Richard earned his J.D. from the University of Chicago Law School and economics degrees from the University of Illinois and New York University.