Catalyst, Secure Repositories for E-Discovery, eDiscovery, Electronic Discovery

Jan. 31, 2012, 1:30 p.m., LegalTech, New York City

Predictive coding provided a leap forward in separating relevant from non- relevant documents. While early efforts helped reduce review costs, the systems were static which kept them from reaching their true potential. The next generation of “suggestive” coding engines are dynamic—learning as you tag and add new documents.

Join Catalyst at LegalTech New York for this special Emerging Technology Track presentation, where we will cover:

• The law, ethics and mathematics of computer-assisted coding.
• Using Bipartite Analytics to identify responsive and privileged documents more effectively and at lower costs.
• Best practices for employing suggestive coding to identify related concepts and improve search.

This program will show new and better methods to reduce document sets and save on review costs. Speakers will be:

• John Tredennick, Esq., founder and CEO of Catalyst and former litigation partner at Holland & Hart.
• Dr. Jeremy Pickens, Catalyst Senior Applied Research Scientist, formerly at Fuji Xerox Palo Alto Laboratory.
• James Eidelman, Esq. Catalyst Senior Search & Analytics Consultant.

Download slides from this presentation

Related Case Studies

• Predictive Ranking™ Cuts Review Population by 76 Percent
• Protecting Privileged Documents in a DOJ Investigation
• Predictive Ranking™ Conquers Deadline Reviewing 100,000 Last-Minute Documents
• Best Practices in Predictive Coding
• Search Q&A: A Conversation about the Science of Search