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Agentic AI for Lawyers: Risks, Ethics, and Opportunities

Presented by Jordan Turk

Agentic AI is moving beyond chatbots to plan tasks, use software, and execute multi-step workflows. This on-demand webinar explores how these tools are reshaping legal practice and how lawyers can adopt them responsibly.

Agentic AI for Lawyers: Risks, Ethics, and Opportunities

Lawyers and legal professionals interested in understanding agentic AI, its practical applications, and the ethical and professional
This session explains how agentic AI differs from traditional generative AI and examines emerging legal use cases, along with key
Gain a practical framework for evaluating AI agents, identifying potential risks, and responsibly integrating agentic AI into legal workflow

What attendees are saying:

"Jordan Turk is sensational. She’s an outstanding speaker as well as a highly competent litigation lawyer. Her practical knowledge and application of AI came through so effectively during the seminar."
"Excellent presentation with proper balance of broad strokes and details for the AI newcomers."
"Jordan continues to shine. She is by far the best webinar presenter I've seen! Always interesting material and presented in a lively manner. Thank you, Smokeball and Jordan!"
Jordan Turk
Attorney, Director of Education & Attorney Development at Smokeball
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About this session

AI tools are evolving from simple chatbots into systems capable of planning tasks, using software tools, and carrying out multi-step workflows with limited human direction. These “agentic” AI systems are beginning to reshape how legal professionals approach everyday work.

This on-demand webinar provides an introduction to agentic AI and explains how it differs from traditional generative AI. It examines where lawyers are likely to encounter AI agents first and explores practical applications for integrating these tools into legal workflows.

The session also addresses the emerging ethical and professional responsibility issues associated with agentic AI, including attorney supervision, confidentiality, verification of AI-generated work, and potential malpractice risks. Attendees will gain a practical framework for assessing AI agents, managing associated risks, and making informed decisions about responsible adoption.

Key Learnings:

Understand the difference between generative AI and agentic AI in legal practice
Identify ethical risks involving supervision, confidentiality, verification, and professional responsibility
Evaluate practical use cases and risk-management strategies for integrating AI agents into legal workflows

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