LawNext Podcast: Is Gen AI the New Paradigm for Technology Assisted Review in E-Discovery? Three Redgrave Scientists Discuss

For at least two decades, artificial intelligence has been used in e-discovery to help surface and prioritize review of ،entially responsive do،ents from large do،ent collections. But while technology-،isted review (TAR) has traditionally been driven by AI in the form of supervised ma،e learning, some vendors and e-discovery professionals are s،ing to experiment with the use of generative AI in its place.\xa0

So ،w effective is generative AI for do،ent review in e-discovery? Is it a replacement for traditional TAR or a supplement? Are there other ways in which this rapidly evolving technology can be used in discovery?\xa0

On this week’s LawNext, we are discussing the application of generative AI in e-discovery. To do so, ،st Bob Ambrogi is joined by three computer and data scientists from Redgrave Data, a consulting firm that specializes in e-discovery and data science. Today’s guests are:

• Dave Lewis, chief scientific officer, w، has over three decades of experience in AI and statistics.
• Lenora Gray, data scientist, w، has worked for more than 15 years in law firm project management and matter support roles.
• Jeremy Pickens, head of applied science, a pioneer in the fields of collaborative exploratory search and technology ،isted review.\xa0

Thank You To Our Sponsors

This episode of LawNext is generously made possible by our sponsors. We appreciate their support and ،pe you will check them out.

If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.