With the October EDRM case law webinar coming up at 1pm ET today, it seems appropriate to cover another EDRM topic this morning! On Monday, EDRM announced the release of a new artificial intelligence (AI) paper titled “The Use of Artificial Intelligence in eDiscovery.”
“We are inundated in the e-discovery space with broad talk of technologies that will help us perform our work more efficiently and accurately at a lower cost. But what does this all even mean?” asked Kelly Atherton, senior manager cyber incident response at Norton Rose Fulbright, who served as the project trustee. “Our drafting team comprised of attorneys, data scientists and legal technologists sought to create an objective, easy to digest overview for the bench and bar to aid them in better understanding the use of AI in e-discovery. We adopted a broad, working definition of AI for the purpose of this paper and discussed the types of AI used in e-discovery, common uses cases and ethical considerations. Our hope is those new to AI can use this paper as a starting point to become a more informed consumer and adopter of AI in e-discovery.”
The 12-page paper, designed “to provide a preliminary overview of the field” and available for download from the site here, provides an introduction to AI, and discusses the types of AI, the uses of AI, the benefits of using AI and key consideration in using AI in eDiscovery. It also discusses ethical considerations and the future of AI in eDiscovery, concluding with a brief bibliography of sources about AI.
An impressive project team of contributors include:
- Mallory Acheson, Nelson Mullins
- Derek Duarte, BlackStone Discovery
- Dr. Maura R. Grossman, University of Waterloo and Maura Grossman Law
- Kelly Atherton, Norton Rose Fulbright
- Tara Emory, Driven, Inc.
- Angela Lindstrom, Amazon
- David Cohen, Reed Smith
- Jeff Gilles, Relativity
- Wilzette Louis, Hogan Lovells
- Herbert Roitblat, Mimecast
- Matthew Sinner, HaystackID
- Bradley Whitecap, Reed Smith
“The Use of Artificial Intelligence in eDiscovery” does a good job of covering all the bases in an easy-to-read high-level overview that is useful to newbies and experienced eDiscovery professionals alike.
So, what do you think? What experience do you have in the use of Artificial Intelligence in eDiscovery? Please share any comments you might have or if you’d like to know more about a particular topic.
Disclaimer: The views represented herein are exclusively the views of the authors and speakers themselves, and do not necessarily represent the views held by my employer, my partners or my clients. eDiscovery Today is made available solely for educational purposes to provide general information about general eDiscovery principles and not to provide specific legal advice applicable to any particular circumstance. eDiscovery Today should not be used as a substitute for competent legal advice from a lawyer you have retained and who has agreed to represent you.