- Type: CLE Seminar/Webinar
- Presented by: Tom Bejin and Jaimin Shah
- Location: Zoom
Best Practices and Key Considerations when Using AI in Litigation [Taft IP Webinar Series]
As artificial intelligence tools rapidly reshape litigation practice, understanding how to use them effectively—and responsibly—is critical for today’s attorneys. This one-hour CLE program explores practical, real-world applications of AI across the litigation lifecycle, from early case organization through trial support, while highlighting the risks and ethical considerations that cannot be ignored.
Attendees will gain insight into how AI can enhance efficiency in drafting, proofreading, document review, and case analysis, including strategies for leveraging AI as a project management tool, generating task lists aligned with jury instructions, and identifying key witnesses and themes. The program will also examine emerging tools used in litigation workflows, including Relativity and other AI-powered platforms, and discuss how AI can support trial preparation, including jury selection and impeachment strategies.
Equally important, this session addresses the limitations and risks of AI in legal practice. The presenter will cover best practices for avoiding hallucinations, maintaining candor and authenticity, and ensuring attorneys retain critical judgment when evaluating AI-generated output. Participants will leave with a practical framework for integrating AI into their litigation practice while preserving accuracy, professionalism, and strategic focus.
Attendees will learn:
- How to apply AI tools across key phases of litigation, from organization to trial
- Best practices for drafting, revising, and summarizing legal materials using AI
- Techniques to improve document review and witness identification using AI platforms
- Practical approaches to using AI for trial preparation, including jury selection and impeachment
- How to identify and mitigate risks such as hallucinations, overreliance, and loss of strategic perspective
- Ethical considerations related to transparency, accuracy, and professional responsibility when using AI
1.0 CLE credit is pending for Arizona, Colorado, Florida, Georgia, Illinois, Indiana, Kentucky, Minnesota, New York, Ohio, and Virginia.