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Multidimensional Data Reversion: From Search Terms to GenAI—How We Got Here and What We Learned Along The Way

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Manage episode 502759404 series 3413467
Content provided by Ropes & Gray LLP and Gray LLP. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ropes & Gray LLP and Gray LLP or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

477 episodes

Artwork
iconShare
 
Manage episode 502759404 series 3413467
Content provided by Ropes & Gray LLP and Gray LLP. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ropes & Gray LLP and Gray LLP or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

477 episodes

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