This program is a recording of the Live Seminar held on April 8, 2024.

If you attended the live seminar and received credit, then you cannot claim credit for watching this recorded program.

Summary:

The purpose of this presentation is to demonstrate the use of AI in identifying relevant and privilege documents in discovery:

Everlaw’s Data Visualizer
• Easy to navigate thru the Predictive Coding Process
• Predictive Coding Module displays number of documents ranked Relevant and Irrelevant

Nextpoint’s Near Duplicate Analysis
• “Near Duplicate Analysis” identifies email threads with the same content

Nebula’s Predictive Coding Manager
• For larger document sets
• Content Analyst reads and interprets the email body, then scores email with similar content

Speaker:

Mark Seo, Founder of the HON Discovery Group
Mark Seo is the founder of the HON Discovery Group, a Honolulu-based Forensics, eDiscovery and Trial Technologies firm that helps law firms, government and corporations effectively manage discovery. 

Mr. Seo is a graduate of UC Berkeley and holds multiple eDiscovery and Computer Forensic Certifications.  Mark is a frequent speaker on national eDiscovery issues, presenting at many of the premier technology conferences, including (International Legal Technology Conference), Sedona Conference, NY Legal Technology Conference, ABA Annual Conference (s), Hastings School of Law, Boalt Law School and here in Hawaii, the Hawaii State Bar, William S Richardson School of Law and the Hawaii Judicial Conference.

Duration: approximately 1 hour

NO REFUNDS WILL BE GIVEN FOR ONLINE SEMINARS. 

This seminar will be available in your classroom to view for 1 year from the date of purchase OR until April 8, 2026 which ever comes sooner.  

ADA Accommodation: In Accordance with the Americans with Disabilities Act, if you require accommodation for a disability, please contact us by email at cle@hsba.org; or by phone at 537-1868 and ask for the CLE Department before purchasing the program. 

Questions? Please contact HSBA CLE Department at 537-1868 or CLE@hsba.org.