Best Practices for Predictive Coding & Non-Linear Review Webinar
Past Events
Ron B. Tienzo is a senior consultant at Catalyst who draws on his unique background as both a lawyer and a software engineer. With a degree from Sturm College of Law at the University of Denver and extensive training in a range of legal software applications and programming languages, Ron provides litigation consulting to corporate law departments and law firms. Ron is that rare lawyer who is equally fluent in technology and adept at search. A specialist in combining law, technology and the latest in data mining techniques, Ron applies these skills to provide clients with informed guidance on litigation matters, including electronic discovery strategies and discovery management techniques.
Jim Eidelman, a veteran trial lawyer and pioneer in legal technology, is the principal consultant of Catalyst Consulting. With more than three decades of hands-on experience providing technology advice to law firms and legal departments, he helps clients develop strategies to overcome their toughest e-discovery challenges. By applying smart-searching methods and software analytics, Jim helps lawyers cut down and prioritize huge document sets. His informed and creative guidance has helped clients improve the efficiency of their document reviews by as much as 100 percent. Among his many innovations, Jim created a predictive-ranking tool that identifies and prioritizes the documents most likely to be responsive.
A Catalyst Webinar
Learn how predictive coding and non-linear review can help companies and their counsel reduce e-discovery costs, speed up review and ensure defensibility. Among the key techniques we will cover:
- Sampling: Use sampling to identify and review low-priority documents.
- Email thread suppression: Review only the last email in the chain.
- Predictive Ranking: Review the documents most likely to be relevant.
Join Catalyst Search & Analytics consultants Ron Tienzo and Jim Eidelman as they
survey the use of these tools and describe best practices for your cases.
About the speakers:
Ron B. Tienzo is a senior consultant at Catalyst who draws on his unique background as both a lawyer and a software engineer. With a degree from Sturm College of Law at the University of Denver and extensive training in a range of legal software applications and programming languages, Ron provides litigation consulting to corporate law departments and law firms. Ron is that rare lawyer who is equally fluent in technology and adept at search. A specialist in combining law, technology and the latest in data mining techniques, Ron applies these skills to provide clients with informed guidance on litigation matters, including electronic discovery strategies and discovery management techniques. Jim Eidelman, a veteran trial lawyer and pioneer in legal technology, is the principal consultant of Catalyst Consulting. With more than three decades of hands-on experience providing technology advice to law firms and legal departments, he helps clients develop strategies to overcome their toughest e-discovery challenges. By applying smart-searching methods and software analytics, Jim helps lawyers cut down and prioritize huge document sets. His informed and creative guidance has helped clients improve the efficiency of their document reviews by as much as 100 percent. Among his many innovations, Jim created a predictive-ranking tool that identifies and prioritizes the documents most likely to be responsive.- Download the slides from this presentation
- Listen to and watch the recording
- Webinar follow up questions
- Related blog posts:
A Primer on the Use of Sampling in E-Discovery, Part I
A Primer on the Use of Sampling in E-Discovery, Part II - White Paper: The Benefits of Sampling in E-Discovery
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