New York, NY, May 03, 2016 --(PR.com
)-- It’s been over four years since Da Silva Moore energized the legal tech industry, bringing predictive coding into the wider legal lexicon. Also known as technology-assisted review (TAR), predictive coding leverages machine learning to apply human relevancy decisions to documents across a dataset, ranking them according to likely relevance. Yet despite growing awareness and adoption, myths and misconceptions continue to propagate.
The amended FRCP and new ethical obligations to understand technology create a near-mandate for attorneys to appraise the benefits and risks of predictive coding. This session will provide an in-depth study of predictive coding from legal theory and case law analysis to practical implementation and unconventional use cases.
Since Da Silva Moore there have been almost 40 opinions that further discuss predictive coding issues that will be covered in this session, including:
TAR 1.0 vs TAR 2.0
Session attendees will walk away with comprehensive case law guides and practical implementation tips from meet & confer tactics to vendor dialogue.
Director, Product Marketing
Eric B. Evans
Mayer Brown LLP
Ethan K. Ackerman
Morgan, Lewis & Bockius LLP
For an updated list of the faculty panel, please visit: https://theknowledgegroup.org/event-homepage/?event_id=1612
About The Knowledge Group/The Knowledge Congress Live Webcast Series
The Knowledge Group, brings together the world's leading authorities and industry participants through informative two-hour webcasts that study the impact of changing regulations and help businesses succeed through proper regulatory compliance. Visit http://theknowledgegroup.org/ for further information and inquiry.