Program Details
On Demand

Case Guidance on the Use of Machine Learning of eDiscovery



Content Partner:  Global Cyber Institute
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Price: $200.00*

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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:
  1. Technology Assisted Review
  2. ESI Discovery Protocols
  3. 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

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Purchase of this product provides online access for 180 days. If you are purchasing a live webcast, you will receive complimentary access to the on demand version for 180 days once it becomes available. Please note that the on demand and podcast versions may, or may not be accredited in your state.

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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Credit Eligibility:
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AK, AL, AR, AZ, CA, CEU, CO, CT, DE, GA, GU, HI, IL-EXPER, IL-NEWADMIT, IN, ME, MO, MS, MT, NC, ND, NH, NJ, NM, NV, NY-EXPER, NY-TRANS, PA, PR, TN, UK-BSB, UK-SRA, VI, VT, WV
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Total Credits: 1
Specialty Credits: 
Status: Reciprocal Credit Available
Expiration: 03/08/2024
Training Type: Online

West LegalEdcenter provides accreditation as described here. You may be able to self apply for credits in states not listed.

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Speakers:
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.
This product is designed to provide information in regard to the subject matter covered. It is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional service. If legal advice or other expert assistance is required, the services of a competent professional person should be sought.


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