The Role of AI in eDiscovery & Document Review

Artificial intelligence (AI) is transforming the legal profession, particularly in the areas of eDiscovery and document review. This 60-minute session will provide attorneys with a foundational understanding of how AI is currently being applied to streamline discovery workflows, improve accuracy, and reduce manual effort. Participants will explore key technologies - including machine learning, natural language processing, and technology-assisted review - and learn how these tools are reshaping the way legal teams manage increasingly complex data environments.

Learning Objectives: 

1. Define key artificial intelligence (AI) concepts relevant to legal practice, including machine learning, natural language processing (NLP), and technology-assisted review (TAR), and distinguish them from traditional legal technologies
2. Identify how AI tools are currently being applied throughout the eDiscovery lifecycle, including early case assessment, document culling, and predictive coding
3. Explain the benefits and challenges of using AI in document review workflows, such as improving efficiency, reducing costs, and enhancing accuracy through AI-human collaboration
4. Evaluate factors to consider when selecting and implementing AI solutions for legal teams, including tool capabilities, integration with existing workflows, and team training
5. Recognize ethical considerations and professional responsibilities associated with the use of AI in legal practice, including transparency, bias mitigation, and data protection