Agentic AI in Legal Workflows Key Takeaways from ILTACON 2025
Agentic AI offers autonomous legal workflow potential but requires proper implementation with task delegation data context and human oversight as noted by an ILTACON panel
NATIONAL HARBOR, Maryland — The legal technology buzz at ILTACON 2025 centered on agentic AI, a system designed to autonomously achieve goals rather than execute single tasks. Panelists highlighted three critical factors for successful implementation:
1. Goal-Oriented Task Chaining
- Unlike generative AI (GenAI), which performs specific actions, agentic AI works toward broader objectives by chaining tasks.
- Example: An AI agent can autonomously handle business development emails by understanding context, drafting responses, and reducing lawyer workload to mere review.
2. Data Context is King
- Panelists emphasized that robust data architecture and interoperability are essential for AI agents to make informed decisions.
- Quote: "An agent that is going to do its job well is going to have as much context as it possibly can," said Joel Hron, CTO at Thomson Reuters.
3. Human Oversight Remains Critical
- Despite autonomy, agentic AI requires legal professionals for verification and review.
- Matt Zerweck of Harvey outlined two key processes: check-in (human input during workflows) and review (final output validation).
Future Outlook
- Panelists predicted agentic AI will amplify top attorneys by automating tedious tasks, allowing them to focus on high-value decisions.
- Quote: "It makes the harder decisions more important," Hron noted. "It amplifies the best people in the organization."
For more coverage, visit Thomson Reuters Institute.
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About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.