Staying Ahead of the AI Curve

Co-hosts Bill Mariano and Rob Hellewell start the show with Sightings of Radical Brilliance. In this episode, they review a recent New York Times article by Cade Metz that explores how new organizations are using AI to find bias in AI.

Next, they bring on Harsha Kurpad of Latham Watkins who answers the following questions around staying ahead of AI innovation in legal technology:

• What are some current barriers to adopting AI?
• How do you stay apprised of new AI technology, tools, and solutions?
• What are new data challenges that are leading to a greater adoption of AI or requiring the use of more sophisticated tools?
• How are government entities like the FTC and DOJ changing how AI is being used and what is required during investigations? 
• What are some best practices for training algorithms and staying on top of new approaches to training?
• What are some of the risks in not adopting AI or not staying apprised of changes to the tools, platforms, and how it’s being used.

Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage, rate us on Apple and Stitcher, and join in the conversation on Twitter.

Related Links

• White Paper: The Challenge with Big Data
• Blog Post: What Attorneys Should Know About Advanced AI in eDiscovery: A Brief Discussion
• Podcast: AI and Analytics for Corporations: Common Use Cases
• Blog Post: What is the Future of TAR in eDiscovery? (Spoiler Alert – It Involves Advanced AI and Expert Services)