eDiscovery Leaders Live: Eric Crawley of Epiq
Eric leads the Product Management, Managed Review, and Analytics organizations at Epiq. He has worked for Epiq for over 12 years in a variety of roles. His responsibilities have ranged from managing projects and clients to general management and strategy. A lawyer by training, Eric earned his JD from University of California, Hastings College of the Law and received a BA from University of California, Berkeley. He is still a licensed attorney, in California and Texas.
Eric shared his thoughts on the use of AI and analytics in antitrust matters, especially second requests, and talked about the continuing advances made with TAR. He discussed the challenges poses by privileged content and what they are doing to address those challenges. He then turned his focus to the democratization of TAR 2.0, crossing the chasm, and the future of AI in the practice of law.
- [2:15] The tools and processes an eDiscovery provider can use to assist in antitrust matters, especially second requests – especially AI and analytics.
- [5:00] How to use AI to impact everything that is taking place in antitrust matters – not just to determine relevance.
- [5:41] Using AI and machine learning to address privileged content in antitrust matters.
- [9:38] Combining TAR 1.0 with AI and machine learning in second requests.
- [10:53] Defensible processes for second requests.
- [11:43] TAR 2.0’s rise to dominance in litigation matters.
- [13:13] The democratization of TAR 2.0.
- [15:22] Crossing the chasm, at last.
- [16:57] Proactive uses of machine learning and AI.
- [18:16] Ways to use a proactive approach.
- [19:35] Barriers to using a proactive approach.
- [23:05] Using AI to augment workflows: the classic combination of people, process, and technology.
- [24:22] The future of AI in the practice of law.
- [26:12] How an ESI provider figures out how to provide ongoing value to clients.
- “Second requests … are the largest, highest pressure, highest volume, quickest turnaround type of matters. The technologies that you have at your fingertips and the methods that you need to deploy and the substantive knowledge that you need to have in order to execute on those matters is really paramount.”
- “When I think of antitrust matters and I think of things like second requests, they’ve really been at the forefront of the use of AI and analytics for the last several years and that continues to be the case. The lion’s share of the second requests we are working on, they use technology assisted review, primarily for the identification of relevant materials but we are starting to see advancements there as well.”
- “From the use of NexLP as well as with Brainspace, those are our go-to applications for when we need to work on antitrust matters and particularly second requests. They’re vital to being able to use the necessary methods and workflows that are required for those matters.”
- “What we’re looking at these days is, how can we better use AI and machine learning at the outset and throughout a matter to better protect privilege.”
- “When we take step back from antitrust, the vast majority of our TAR workflow is CAL, it’s TAR 2.0.”
- “AI and its impact on legal is here to stay and it’s going to impact us in ways that are unexpected but its more likely than not going to impact almost everything we do in the legal profession.”