Winning Cases with E-discovery and Artificial Intelligence

2

Course Number

4993

CLE

Approved for 1.0 hours of General CLE Credit including 1.0 hours of Ethics and 1.0 hours of Technology.

Description

This presentation covers the fundamentals of artificial intelligence; an understanding of how and why AI is used; what admissibility issues are posed in introducing AI evidence and how to address those issues, as well as a description and analysis of the pertinent rules of evidence and how they apply to AI.

Outline

  • Introduction (5 Mins)
    • Role of eDiscovery and AI in today’s practice of law
    • Ethics summary
  • Collection process (10 Mins)
    • What is “digital information”
    • Where is it located
    • Importance of proper collection
    • Self-collection issues
    • Litigation hold
    • Proportionality
  • Analyze (15 Mins)
    • What to do with collected evidence
    • Deduplication / parsing data
    • Native files – be careful what you wish for
    • Benefits of Artificial Intelligence (I,e. research, image searches)
    • Technology Assisted Review (TAR)
  • Review (10 Mins)
    • Using eDiscovery software
    • Cost
  • Final thoughts (10 Mins)

SPEAKER BIO

Carlos Baradat is an attorney that focuses his efforts on technology and litigation readiness. He has been an adjunct professor for the past seven years where he teaches courses related to technology and litigation practice, and is the founding member of The Baradat Group, a law firm IT consulting company where he provides attorneys with nationwide services related to digital forensics, electronic discovery, cybersecurity, litigation preparedness and law office technology.


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