Predictive Coding – Augmenting Attorney Intelligence
Artificial Intelligence in the form of machine learning has drastically changed document review. Linear review is becoming the exception, rather than the rule, and legal teams that understand how to use predictive coding correctly are experiencing large savings and expedited reviews. As the law continues to become more open to disruptive technology, it is vital to understand how predictive coding and other forms of TAR can be harnessed defensibly and effectively.
This webinar will cover:
- How Predictive Coding works
- When to use it
- Standard workflows
- Assembling your PC Strike Team
- The State of the Law
- Next-Gen Analytics
Derek Duarte is President of BlackStone Discovery. As a litigator and technologist, Derek brings a unique perspective to the challenges of the legal services industry. Most recently, he was named one of Silicon Valley’s 40 best business leaders under the age of 40 (40 under 40) by the Silicon Valley Business Journal for leading BlackStone Discovery’s rapid growth and disruption of the eDiscovery industry.
Chief Data Scientist
Lewis brings 30 years of experience designing machine learning and language processing algorithms, dating back to his award-winning dissertation establishing text categorization as a new field of study at the intersection of information retrieval and machine learning.
Lewis holds a BA in Mathematics and a BS in Computer Science from Michigan State University, and a PhD in Computer Science from the University of Massachusetts at Amherst.
Senior Project Manager
Adam Bender is a Sr. Project Manager at BlackStone Discovery where he specializes in technology assisted review and predictive coding solutions. He holds a J.D. from University of San Francisco and has 9+ years of experience in eDiscovery, including in-house work at Google.