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October 12, 2020

AI and Your Legal Analysis

By Lianna E. Donovan

The steady advance of Artificial intelligence (AI) and legal technology brings the opportunity to enhance legal analysis and compliance issues faster, more accurately, and at a lower cost. I recently had the privilege of presenting on this very topic to more than 200 audience members at the University of South Carolina School of Law's Legaltech Seminar Series.

With a focus on the increasing attention towards data privacy and the growing volume and formats of electronic discovery requests, I presented a variety of technology-based strategies to assist with information governance, privacy compliance, early case assessment, litigation strategy, and discovery review challenges.  I specifically focused my discussion on enhanced AI technologies supporting knowledge management, insights, technology assisted review (TAR), and privacy. Developments in AI have propelled our industry forward in areas like document review and early case assessment, but AI has also advanced subject matters such as financial fraud, learned compliance monitoring, anomaly or pattern detection, and data breach review. For instance, machines can analyze thousands of contracts to extract relevant due diligence clauses or monitor and flag employee misconduct emails for compliance ease.

I invite you to view the materials shared on this topic (the PowerPoint can be viewed here) and feel free to reach out to me directly.

If you’re interested in learning more about legal technology from the University of South Carolina School of Law, registration information for the Series can be found  here. The Series is open to law students, members of the legal community, and the public.

Mallory Acheson is head of analytics for Nelson Mullins’ e-discovery division, Encompass. Based in Nashville, she is an attorney with multiple years of experience leveraging technology and data analytics tools to guide clients through a variety of challenges across the EDRM and IGRM.