Building Trust in AI for E-Discovery

[Webinar] Gen AI in e-Discovery: How to Test, Trust, and Thrive in a New AI Era

Date: February 25th, 4:00 pm – 5:00 pm PST

As the legal industry navigates the complexities of generative AI in e-discovery, the need for trust in AI-powered workflows has become paramount. This upcoming webinar, hosted in collaboration with Relativity, one of the prominent sponsors of ACEDS ANZ, will delve into the pivotal aspects of validation, defensibility, and accountability in AI applications.

Understanding the Transformation

The advent of generative AI is reshaping the landscape of e-discovery, making it essential for legal professionals to build confidence in AI-driven processes. This session aims to unite leading educators and thought leaders to discuss the foundational principles necessary for validating AI outputs and ensuring that they meet legal standards in an ever-evolving technological environment.

Key Objectives

Participants will explore:

  • Essential Principles: Understanding the fundamental guidelines for fostering trust and assurance in AI-driven legal workflows.
  • Balancing Innovation and Accountability: Insights into how organizations are strategically navigating AI adoption while maintaining responsibility.
  • Future Perspectives: An examination of what AI validation means for the legal sector moving forward.

Expert Panel Lineup

The discussion will feature a distinguished panel of experts, including:

  • Emma Young: Head of Electronic Data and eDiscovery APAC, DLA Piper.
  • Jules Lambert: Director, Discovery & Data Management, Deloitte.
  • Nikki Roberts: Manager, APAC Customer Success Management, Relativity.
  • Gulsun Demirel: Manager, APAC Adoption, Relativity (Moderator).

Conclusion

This webinar is designed for professionals eager to comprehend the broader implications of AI adoption in the legal field and to learn how to confidently navigate this transformative era. With a focus on trust, accountability, and innovation, attendees will gain valuable insights into the future of AI in e-discovery.

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