Please join us for a presentation on how to meet discovery obligations with today’s technology.
Attorneys are under an ethical obligation to understand the tools at their disposal to assist their clients – meaning attorneys need to be proficient in the latest technologies. In this session we will cover a general overview on how technology is changing the way we practice law. This will be followed by an in depth focus on how one technology, Machine Learning, is being leveraged in document discovery.
Technology-assisted review (TAR) is the next generation of technology that allows attorneys to more efficiently find, learn from and manage data. Using algorithms, analytics and computer learning modules, TAR can dramatically increase efficiency, improve quality and reduce costs – but it takes a knowledgeable attorney to know how to properly deploy it on the matters and issues at hand.
In this session we will look at the practical issues surrounding TAR, and the concept that an attorney doesn’t have to physically review every document involved in a case.
Cooperation vs Protection
Work product to protect training sets
Working under the proposed DOJ Predictive Coding requirements
Statistical validation – knowing when it’s OK to stop the search for relevant documents
How “tech savvy” do I need to be as an attorney?
As they pertain to TAR, the guiding principles of eDiscovery will be discussed -- Federal Rules of Civil Procedure 1, 26(g), 26(b)(1); and Model Rule 1.1, more specifically Comment 8.
Lunch is being provided and sponsored by Legility.
1 CLE credit will be applied for in Minnesota.
Please RSVP by Tuesday, May 7, 2019.
If you are not sure you can attend, please respond with a "Maybe."
Presenter: Ron Tienzo, Solutions Architect, Legility
Ron Tienzo is a seasoned veteran in the e-discovery and litigation support industry. At Legility (formerly DSi) he specializes in helping clients use cutting-edge machine learning/AI, advanced analytics, and custom workflows to handle complex and large-scale litigations. During his career, Ron has provided strategic discovery consulting to half of the Fortune 10 and one-third of the Fortune 100 in both the state and federal level.
Prior to joining DSi, Ron served as the Director of Search & Analytics at Catalyst Repository Systems. While there, he was instrumental in the development of Catalyst’s Predictive Coding technology focusing on client training, adoption, and user experience.
Ron is a frequent speaker on the use of Machine Learning in discovery and has served as a guest lecturer on electronic discovery at the University of Denver and University of Florida Levin College of Law.
* Please note, this speaker was originally scheduled for the April 11 WiE meeting, but was rescheduled to our May 9 meeting due to weather.