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9:00 am PDT
TAR 2.0 - Predictive Coding Simplified
Description:
Over the past year, technology assisted review (TAR) and predictive coding have continued to be approved by U.S. and international courts. Traditional, model-based predictive coding involved review of multiple samples to train the predictive coding engine. While court approved, this approach wasn't always workable for real-life cases, where strategies change, documents arrive in waves and sharing training sets with the opposing side isn't palatable.
Now, TAR 2.0 utilizes continuous active learning (CAL), providing a simplified approach to using predictive coding and reducing review fees. Instead of reviewing training sets, TAR 2.0 claims you can simply start the review, with the system learning as the review progresses and prioritizing the likely relevant documents to the front of the review queue.
In this webinar, a panel of experienced e-discovery professionals will discuss how they're using TAR 2.0. Topics will include:
- What document populations lend themselves best to TAR 2.0?
- How can TAR 2.0 help you prioritize review, QC outgoing productions and identify trade secrets?
- Are some workflows more successful than others?
- What isn't living up to the TAR 2.0 promise?
Moderator:
Gillian Glass from Farella is responsible for e-discovery, knowledge management and the management of physical and electronic records. In her current role since 2000, Gillian was previously the litigation support manager for the San Francisco City Attorney's Office.
Panelists:
Ethan Ackerman counsels clients in complex litigation, particularly as it relates to electronic discovery. He tailors plans for handling and minimizing e-discovery in civil litigation, arbitration and administrative proceedings. Ethan advises on all phases of trial practice, including legal hold and document preservation, information management and records retention policies, protective orders and relief, discovery response planning, TAR defensibility and cost recovery.
Giyoung Song represents financial institutions, corporations and individuals in complex litigation involving corporate, commercial and securities-related matters in federal and state courts. Her practice is primarily dedicated to discovery-focused litigation, advice and counsel in class actions, multidistrict litigation and other disputes. Giyoung has extensive experience litigating and managing complex and sophisticated discovery issues, and regularly advises clients regarding discovery law, best practices and practical solutions. She also acts as discovery and coordinating counsel for financial institutions, and advises in-house counsel and outside counsel firms on matters relating to discovery practices and procedures, and litigation strategy.
Caroline Sweeney is responsible for the delivery of Dorsey's e-discovery services, including LegalMine Managed Services, litigation technology support and trial technology support. She is a member of the firm's electronic discovery and privacy and social media practice groups, the cyber security and innovation committees, and the senior information services management team. With over 25 years of experience in the litigation support industry, Caroline combines her technical knowledge and extensive litigation technology experience when providing e-discovery consulting services to clients.
David Yerich is from UnitedHealth Group, where his responsibilities include designing, updating and implementing processes, protocols and tools related to electronic discovery for regulatory and legal matters. His work is at the intersection of information governance and electronic discovery. David, a graduate of the University of Minnesota and Hamline University School of Law, is licensed to practice in the state of Minnesota.
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