Equivio Announces Predictive Coding Seminar in San Francisco on April 29 Seminar is third in Equivio's predictive coding series. Follows success of New York and Washington events. Targets e-discovery counsel and law firms.
KENSINGTON, Md., April 19, 2013 /PRNewswire/ -- Equivio, a provider of analytical solutions for e-discovery, today announced that it will be hosting an exclusive, full-day educational seminar on the essentials of predictive coding on April 29, 2013 in San Francisco. The seminar will be held at the Le Méridien San Francisco hotel.
This invitation-only complimentary event is focused on informing corporations and law firms on the "how" and "why" of predictive coding, the analytical technology that is transforming e-discovery. Using real-world case studies, this seminar provides the fundamental knowledge that litigators, e-discovery counsel, corporations and law firms need to use, manage and make decisions about the implementation of predictive coding technology.
The San Francisco event is the third seminar in Equivio's "Predictive Coding Educational Series." Feedback received from the first two events, held in December in New York and in March in Washington DC, demonstrated the participants' keen desire to learn more about predictive coding.
Steven L. Clark, Director of Litigation Support at Lathrop & Gage LLP, commented: "I attended the session in Washington DC. The event was well thought out, informative, and practical. Highly recommend it."
Predictive coding is a learning technology that can be trained based on examples provided by a human user. In e-discovery, predictive coding is used to find relevant documents in a collection. Based on a relatively small number of exemplars, the software is able to distinguish between relevant and non-relevant documents across the entire repository.
The seminar consists of sessions delivered by industry leaders in e-discovery and Equivio subject matter experts, and will be moderated by David Cowen of The Cowen Group. The San Francisco event will include sessions with Kit Goetz, Vice President, Litigation Discovery at Qualcomm and Pallab Chakraborty, Director of eDiscovery at Oracle. The agenda covers the following topics:
- Basic statistical concepts used in predictive coding, including richness, recall and precision
- High-level overview of classification technologies and concepts for both lawyers and technologists
- Use case scenarios, including early case assessment, culling, prioritized review, and quality assurance for review
- Guidelines for a predictive coding engagement, reviewing a standard process flow for managing predictive coding projects
- How to select a predictive coding tool for your organization, including a baseline set of expectations and criteria for the evaluation of predictive coding applications
"As the hype around predictive coding continues to increase, it is important for law firms, corporate counsel and government agencies to have a forum for objective information about predictive coding," said Kit Goetz, Vice President, Litigation Discovery at Qualcomm Incorporated, and a member of the Advisory Board to Equivio's Predictive Coding Educational Series. "The Equivio seminar is aimed at sharing the knowledge and real-life experience of early users of predictive coding, and easing the way to wider use of this technology."
Equivio develops text analysis software for e-discovery. Users include the DoJ, the EPA, KPMG, Deloitte, plus hundreds of law firms and corporations. Equivio offers Zoom, an integrated web platform for analytics and predictive coding. Zoom organizes collections of documents in meaningful ways. So you can zoom right in and find out what's interesting, notable and unique. Request a demo at firstname.lastname@example.org or visit us at www.equivio.com. Zoom in. Find out.
About Equivio's Predictive Coding Educational Series
Equivio's Predictive Coding Educational Series is designed to provide e-discovery counsel and professionals with the knowledge they need to manage predictive coding projects. The Educational Series is conducted under the guidance of an Advisory Board comprising e-discovery leaders and pioneers in the use of predictive coding. The members of the Advisory Board are Emily Cobb, Associate and Senior Discovery Attorney at Ropes & Gray, Conor Crowley, Principal at Crowley Law Office, Daniel Garrie, Chair of eDiscovery and Forensic Panel, Alternative Resolution Centers, Kathryn 'Kit' Goetz, Vice President, Litigation Discovery at Qualcomm Incorporated, and Laura Kibbe, Managing Director, Expert and Professional Services at Epiq Systems.