AI and eDiscovery: Practical Applications and Ethical Considerations

Artificial intelligence is changing how legal teams review documents, identify relevant information, and develop litigation strategy. This webinar will bring together Deloitte and leading law firm practitioners to discuss practical applications of AI in eDiscovery and the ethical considerations accompanying its use.

Through examples and discussion, panelists will explore AI-assisted review, validation and quality control, confidentiality and privilege, attorney oversight, and defensible discovery workflows. Attendees will leave with practical considerations for evaluating and implementing AI tools in litigation and investigations.

Designed for attorneys involved in litigation and investigations, the discussion will focus on the decisions legal teams face when incorporating AI into existing discovery processes. Participants will consider how to assess AI-assisted review results, identify issues requiring further attorney review, and structure validation and quality-control practices. The program will also examine how confidentiality, privilege, and professional judgment inform the evaluation and oversight of AI-supported discovery workflows.

Learning Objectives

By the end of this program, participants will be able to:

• Identify practical applications of AI in document review, information identification, and litigation and investigation workflows.
• Evaluate validation and quality-control considerations when assessing AI-assisted review results.
• Recognize confidentiality and privilege risks associated with using AI in eDiscovery.
• Explain the role of attorney oversight and professional judgment in reviewing AI-assisted work.
• Apply practical considerations for evaluating and implementing AI tools within defensible discovery workflows.

Who should attend

• Lawyers
• Legal teams
• Paralegals
• Law students

What attendees will learn

Identify practical uses of AI in document review and discovery workflows.

Evaluate validation and quality-control considerations for AI-assisted review.

Assess confidentiality, privilege, and attorney-supervision issues in AI-supported discovery.

Apply practical considerations when evaluating AI tools for litigation and investigations.