Going Beyond Traditional Research Methods with Advanced AI (Thomson Reuters Vendor Showcase)
Tuesday, September 10, 2019 (11am - 12pm US/Central)
Westlaw Artificial Intelligence – Solving Real Customer Problems
Artificial intelligence and machine learning have reached new heights in terms of buzzword popularity, but at their core have the potential for big market impact. Thomson Reuters has been leveraging the application of AI and machine learning for years to advance legal technology and improve how attorneys conduct legal research. During this webinar, you’ll get a first-hand look at the most advanced AI-based project Thomson Reuters has ever tackled: Westlaw Edge Quick Check. Quick Check, an intelligent legal document analysis tool, goes beyond traditional research methods to uncover relevant authority that may have been missed. Hear from the creators of Quick Check on how this feature is helping researchers practice with a new level of confidence in their own work, gain a strategic advantage against their opponents, and ultimately deliver superior client value.
Attendees will learn:
• the most advanced AI-based project Thomson Reuters has ever tackled and what that means to you
• how Quick Check on Westlaw Edge is giving legal researchers a strategic advantage
AALL Body of Knowledge Domain: INFORMATION MANAGEMENT
Carol Jo (CJ) Lechtenberg
Director, Westlaw Product Management
CJ currently works on the Westlaw Product Management team leading innovation and developing enhancements to solve customer problems. CJ joined TR in 2002 as a reference attorney and began her product development career in 2006. She has been working on Westlaw development since 2009. She has her Juris Doctor from the University of North Dakota School of Law, as well as multiple Bachelor of Arts degrees in Accounting, Business Administration and History/Political Science from the University of Jamestown.
Merine currently works as an architect with the Center for AI and Cognitive Computing leading a team of research scientists and engineers to solve challenging and fantastic problems for customers using various AI disciplines. Merine joined TR in 2006 as software engineer with the Center (then known as the Research & Development). Since then she has worked on developing various products for TR that uses NLP, ML, NLG, NER and other AI techniques in legal, news and financial domains. She has her Master of Science in Computer Science from Purdue University and Bachelor of Technology from University of Kerala, India.
Registration Fees:These fees are available through 09/06/2019
|Member||$0.00||Current AALL Members|
|Member - Site Registration||$125.00||
|Non-Member - Site Registration||$150.00||Non-Member|