Agentic AI in legal settings: Guardrails for responsible innovation
As artificial intelligence evolves, the legal landscape is poised for a significant shift with the emergence of "agentic AI." Unlike other AI tools that respond to single prompts, agentic AI can independently plan, execute multi-step tasks, and adapt to achieve a goal with limited human intervention.
This webinar, based on the upcoming "Guardrails for Agentic AI in Legal Settings" paper developed by the TRI/NCSC AI Policy Consortium, will delve into the critical distinctions, unique risks, and essential governance frameworks for responsibly integrating agentic AI into courts and legal practices.
Our expert panel - featuring leaders from AI enablement, legal practice, data science, and the judiciary - will provide practical insights and discuss how to leverage this transformative technology while upholding accountability, transparency, and human judgment in the legal system.
Following this session, attendees will be able to:
- Differentiate between standard, generative and agentic AI, and understand the implications for legal work.
- Identify unique risks associated with agentic AI in legal settings, including potential for silent failures and impacts on accountability.
- Understand how to apply a tiered risk framework and practical guardrails for the ethical and secure use of agentic AI tools across various legal roles.
Moderator:
- Aubrie Souza, principal court management consultant, NCSC
Panelists:
- Ankita Upadhyay, senior director, AI Enablement, Thomson Reuters Institute
- Andre Assumpcao, chief data strategist, NCSC
For more information, contact Keeley Daye.
TRI/NCSC AI Policy Consortium for Law & Courts
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