[EDRM Editor’s Note: The opinions and positions are those of John Tredennick and Dr. William Webber.]
About This Edition
The fourth edition reflects both the maturation of Generative AI and our deeper understanding of its practical application in discovery and investigations. Since the third edition, AI systems have gained longer context windows, more accurate outputs, and sophisticated multi-step reasoning capabilities. Most significantly, agentic AI systems can now plan, execute, and refine investigations autonomously—conducting tasks that required extensive human effort just months ago. The legal profession has also gained clearer ethical frameworks from the ABA and state bar associations, providing guidance on responsible AI use in practice.
This edition demonstrates how discovery professionals can use these tools to analyze vast document collections, synthesize testimony across dozens of depositions, identify patterns in complex datasets, and generate detailed investigative reports—all while maintaining quality control and meeting defensibility standards for adversarial proceedings.
What You’ll Find in This Book
Part One: Fundamentals of Generative AI provides the technical foundation you need to understand how Large Language Models work, how they’re trained, and what makes them different from earlier systems. We address critical questions about data security, hallucinations, and context windows, and explore the ethical obligations that govern AI use in legal practice.
Part Two: Agentic AI and Reasoning Models introduces AI systems that can plan multi-step workflows, use tools strategically, and iterate toward goals. You’ll learn the difference between prompting an LLM and deploying an agent, understand single-agent and multi-agent systems, and examine the unique ethical considerations that autonomous systems raise.
Part Three: Practical Applications in Discovery and Investigations demonstrates these concepts through real-world examples, showing how AI analyzes document collections, extracts key information, synthesizes testimony at scale, and even crafts compelling legal arguments. Each example includes specific methodology, results, and critical analysis of strengths, limitations, and defensibility concerns.
Whether you’re beginning to explore AI tools or looking to deploy more sophisticated systems, this book provides the foundation and practical guidance you need to work effectively with Generative AI in discovery and investigations.
Assisted by GAI and LLM Technologies per EDRM GAI and LLM Policy.
