What Large Language Models Mean for Lawyers - with Danny Tobey and Bennett Borden of DLA Piper

Today’s guests are DLA Piper's Partner, Chief Data Scientist, Bennett Borden, and Partner, Chair AI and Data Analytics Practice, Danny Tobey. DLA Piper is among the world’s leading law firms and as Bennett and Danny explore with Emerj Senior Editor Matthew DeMello on today’s podcast, they have some compelling use cases at the cutting edge of AI applications in the legal realm. In a follow-up to their first episode on document management use cases, Bennett and Danny closely examine how large language models are changing workflows throughout the legal sector. Later, they look back at their conversation across both episodes to offer hypotheses on what future legal work will look like in an augmented AI future. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Om Podcasten

The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise