Technology-Assisted Review: Sara Lord Interviews Data Scientist Lenora Gray
Concepts: Emerging Technologies, eDiscovery, Data, Technology Assisted Review, TAR
Our Legal Tech Host Sara Lord speaks with data scientist and eDiscovery expert Lenora Gray of Redgrave Data.
Discovery is a staple in any litigation practice, and it has been transformed by technology assisted review tools – or TAR. eDiscovery has developed into its own specialty – with eDiscovery experts on staff who know all there is to know about the technology, standards, processes, and practices.
But every litigator needs to understand how eDiscovery tools work. They should be able to answer questions around the approach being used, why that approach was chosen, reliability of the assisted review, human oversight implemented, and more.
This, like many areas of law, is filled with acronyms, specialized terminology, and a changing landscape – from technology developments to evolving legal standards to ethics competency issues. But because so much of the work is done by a technology vendor that has specialized tools, it can feel like your review is based on blind faith and that finding the pieces to support your case requires you to rely on dumb luck.
Can we do more than pray to the document gods? Listen as Sara Lord interviews Lenora Gray, Data Scientist at Redgrave Data.
Lenora Gray is an eDiscovery expert and data scientist who is skilled in auditing and evaluating eDiscovery systems. In her role as data scientist at Redgrave Data, she designs and analyzes structured and unstructured data sets, builds predictive models for use in TAR workflows, implements automation solutions, and develops custom software. Prior to joining Redgrave, she spent 12 years as a paralegal, a role in which she managed discovery teams. Lenora is currently pursuing her M.S. in data science from John Hopkins University and earned a B.S. in computer science from Florida Atlantic University.
I welcome back Sara Lord as legal tech guest host for the Emerging Litigation Podcast. A former practicing attorney with a decade of experience in data analytics, Sara applies her time at law firms and companies to explore and address the cultural and practical barriers to diversity in law, supporting value-creation through legal operations and client-first business-oriented practices. In her recent work as Managing Director of Legal Metrics, she led a team of experts focused on providing the tools to support data-driven decision making in legal operations and closer collaboration between law firms and their clients through automation and standardization of industry metrics. Sara earned her J.D. from New York University School of Law.
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This podcast is the audio companion to the Journal on Emerging Issues in Litigation. The Journal is a collaborative project between HB Litigation Conferences and the vLex Fastcase legal research family, which includes Full Court Press, Law Street Media, and Docket Alarm.
If you have comments, ideas, or wish to participate, please drop me a note at Editor@LitigationConferences.com.
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Watch the video with outtakes and bonus content!
Guest Host
Sara earned her J.D. from New York University School of Law.
Guest
As a Data Scientist at Redgrave Data, Lenora works with project teams to understand client business needs and deploy analytics solutions. Her role on the data science team includes designing and carrying out analyses of structured and unstructured data sets, building predictive models for use in technology-assisted review (TAR) workflows, implementing automation solutions, developing custom software, and engaging in collaborative research with the aim to advance understanding and innovation within the field, ultimately contributing to more efficient and effective eDiscovery practices.
Prior to joining Redgrave Data, Lenora was an Advisor at Redgrave LLP. Earlier in her career, Lenora worked as a Paralegal and Discovery Department Manager at law firms in South Florida.
Lenora received her A.S. in Paralegal Studies from Miami Dade College and her B.S. in Computer Science from Florida Atlantic University. She has also received her M.S. in Data Science at the Johns Hopkins University's Whiting School of Engineering as a Fellow of the National GEM Consortium.
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