March 11: Webcast - Bringing it all together: the convergence of TAR and big data

In today's complex regulatory and litigation environment, traditional eDiscovery approaches are often not sufficient to meet compliance or case demands. While Technology-Assisted Review (TAR) technologies entering the market appear promising, many lack the transparency needed to convince counsel of their merits. From a big-data perspective, TAR platforms need to be both scalable enough, to handle large volumes of document decisions quickly, and flexible enough, to incorporate structured and unstructured data sources into the predictive model.
In this webinar, hear from EY and IBM subject matter resources on how they integrate IBM technologies, including Watson, and big-data technologies to increase transparency in the TAR process, and learn new strategies that allow counsel to ask questions of data that they have never been able to ask. We will also discuss how the combination of structured and unstructured data sources are being built into the predictive model in an advanced computing environment that promises to change the game in complex compliance and litigation matters.
Title:
Bringing it all together: the convergence of TAR and big data
When/Where:
12:00 PM ET
March 11, 2014
Webcast
Speakers:

• Adam Cohen is a principal in Ernst & Young LLP’s Forensic Technology & Discovery Services practice. He has more than 15 years of experience in law and technology, and routinely advises some of the world’s leading businesses on data management and electronic discovery compliance issues. Mr. Cohen’s client engagements focus on large-scale investigations and litigations as well as proactive information management policies, procedures, and technology. He is a well-known author and lecturer in the field of electronic discovery, and has served as a court-appointed expert on electronic discovery issues in federal court.
• Bruce Weed is the worldwide leader for Big Data and PureData Systems Business Development for IBM. Mr. Weed is an expert on Big Data and is part of the strategy team on Big Data within IBM. He runs the Linkedin group IBM Big Data that looks at both use cases and technology trends around Big Data. Mr. Weed has vast experience in emerging technologies, including his leadership role around the launching of ecommerce for IBM back in the early days of the internet. L.L. Bean was one of the fi rst sites launched and is still going strong.
• Eric Schwarz is an internationally recognized thought leader and testifying expert in the fields of electronic discovery and computer forensics. He is a participant of the Sedona Conference working group on best practices for electronic document retention and production and one of the co-chairs of Sedona’s litigation hold special project team.
• Vincent Walden is a partner in Ernst & Young LLP’s Fraud Investigation & Dispute Services practice. He focuses on forensic technology, business intelligence and fraud detection analytics and leads a team of skilled forensic technology and data mining professionals. With a focus on anti-bribery/anticorruption (ABAC) analytics, forensic data mining, third-party due diligence and eDiscovery services, Mr. Walden has over 16 years of experience handling the information management, forensic analysis and eDiscovery needs for large scale, complex litigations, investigations and proactive ABAC and compliance programs. Mr. Walden is experienced with ABAC analytics, fraud triangle analytics, text data mining and statistical anomaly detection.

Credit:
1 credit of CLE approved in NY, NJ, IL & CA.
By:
Law.com/ ALM Media
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