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Description: This CLE provides a summary of cases providing guidance for the use of machine learning in eDiscovery. Some within the legal industry refer to this as Technology Assisted Review, TAR or Predictive Coding. Artificial intelligence tools are relied upon in the eDiscovery process, primarily for early case assessment to provide quick insights. AI is so crucial because it is practically impossible to review all the data manually, since investigations regularly involve enormous quantities of data. Consider all the information that is sent out and received from your personal devices - emails, text messages, documents, and much more.
Topics covered in this webinar:
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Technology Assisted Review
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ESI Discovery Protocols
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Case Guidance on TAR Discovery
This program is presented by the Lexeprint and the Global Cyber Institute. It is presented by Daniel Garrie of Law & Forensics, David Cohen of Reed Smith, and Philip Favro of Driven Inc.
Key words: eDiscovery, e-Discovery, Electronic Discovery, Electronically Stored Information, ESI, Data Privacy, Data Security, Cyber, Cybersecurity, Technology, Artificial Intelligence
| Practice Areas: | | Litigation & Appeals | | Online Media Type: | | Audio | | Production Date: | | 03/09/2021 | | Level: | | Intermediate | | Category: | | Standard | | Duration: | | 1 Hours, 1 Minutes | | Online Format: | | On Demand | | Course Type: | | Public |
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If you intend to take a course for CLE credit, please make sure your state is listed in the "Accreditation" section to the upper right of the program description. Accreditation displayed is unique to the purchased program format (live conference, live webcast, on demand, podcast). Credit totals listed for live conferences are the maximum credits available. Credits issued will be based upon actual time in attendance. Credit totals for other formats are for complete programs. Partial credit is not available for any online or downloadable format.
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CLE Scholarship information Tuition Assistance for legal professionals taking our programs. Learn more about the program.
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| • | Daniel B. Garrie, Esq. - Co-founder, Law & Forensics; Mediator Arbitrator and eDiscovery Special Master, JAMS | • | David R. Cohen - Reed Smith LLP, Pittsburgh | • | Philip Favro - Consultant, Driven Inc. |
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