On this episode of Ropes & Gray’s Insights Lab’s multi-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss how artificial intelligence and machine learning are being applied to legal investigations and document reviews. They explore the evolution from traditional search term methods to advanced techniques like predictive coding, continuous active learning, and the emerging role of generative AI (“GenAI”) while demystifying what these techniques are actually doing with your data. The conversation highlights the importance of using plain language when describing these technologies, the critical role of human expertise in refining AI tools, and the practical challenges and efficiencies gained when integrating AI into internal investigations and privilege reviews. Tune in to gain insight into how legal teams are balancing innovation, accuracy, and defensibility as they adopt new data-driven approaches.