GENERAL MEMBERSHIP MEETING
November 2021
AI Models & High Precision Classification
Presentation Synopsis.
In this session, we will discuss the use and application of Artificial Intelligence models in eDiscovery. We will provide the results of some real world case studies where legal teams are leveraging AI models to increase efficiencies in their review process. We will also demonstrate the newest advancement to Technology Assisted Review (TAR) workflow - High Precision Classification. This component allows users to provide highly focused feedback to the model about the parts of content that makes a particular document responsive. With this more precise input the model learns faster and more efficiently. In addition, during scoring the model analyzes documents on a finer level of granularity and provides insights to the most relevant passages back to the user. This allows for a higher level of interactivity and insights between the user and the model. With this approach you can pursue more highly refined and nuanced strategies for finding the data that matters most for your needs and achieve your goals significantly faster.
To learn more about Reveal | Brainspace, visit their website here.
Speakers.
George Socha
Senior Vice President of Brand Awareness
George Socha is responsible for increasing market awareness and adoption of Reveal’s platform globally. Additionally, George is tasked with guiding the product roadmap and consulting with Reveal customers on effective deployment of legal technology. In 2005, he co-founded the Electronic Discovery Reference Model (EDRM) whose frameworks and content have empowered a generation of legal professionals. He has worked for over three decades as a lawyer, advisor and court-approved expert.
Dr. Irina Matveeva
Chief Data Scientist & Head of Machine Learning
Dr. Irina Matveeva is responsible for Reveal’s data science organization and applying machine learning and natural language processing approaches throughout the Reveal platform. She is an Adjunct Professor at the Illinois Institute of Technology and has nearly a decade of both practical and academic experience in natural language processing. She co-chaired the TextGraphs workshops in 2012, 2011, 2008, and 2007, and is a reviewer for multiple prestigious journals and publications.
Dave Lewis, Ph.D.
Executive Vice President, AI Research, Development, & Ethics
Dr. Dave Lewis is responsible for artificial intelligence research, development, and ethics issues throughout Reveal's software and services. Prior to joining Reveal, he held positions at Brainspace, AT&T Labs, Bell Labs, and the University of Chicago, along with co-founding a machine learning startup and consulting on numerous legal cases. Dave was elected a Fellow of the American Association for the Advancement of Science in 2006, and in 2017 he and W. A. Gale won the ACM SIGIR Test of Time Award for the invention of uncertainty sampling.
CLE Credit
1.0 hour of General paralegal CLE credit issued through DAPA
ZOOM MEETING INFO
The Zoom meeting details and link will be provided in your registration confirmation email and your event reminder email. Please make sure and add the event and Zoom link to your calendar.
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