Debunking Machine Learning Myths - Case Studies in Contract Review and Analysis
Lunch Sponsor: Kira Systems
Learn how your peers are using machine learning (ML) to accelerate and improve the accuracy of their contract review and analysis processes. Using law firm case studies, we will debunk myths and provide a better understanding of ML as applied to contract review and analysis. We'll also give an overview of the current ML technology landscape, and discuss actual and potential use cases for ML software. We will cover:
- How machine learning works
- The benefits of ML over traditional search technologies
- An overview and live demo of Kira software
- Specific case studies of how law firms are deploying Kira on client work, with time for discussion and knowledge sharing
One lucky participant will win a door prize.
Steve Obenski is the Chief Commercial Officer at Kira Systems. Previously, he was the general manager for business law at Thomson Reuters, where he was responsible for strategy and commercialization of workflow solutions for transactional lawyers, including tools for securities research, deal points tracking and contract drafting. Steve is also a lawyer, and practiced at Morrison & Foerster in San Francisco and WilmerHale in Washington, D.C., with an emphasis on global technology transactions and telecommunications regulatory matters.
Jonathan Talbot is a Director with DLA Piper LLP concentrating on Technology and process improvement utilizing Lean Six Sigma. DLA Piper was named an innovative law firm by the Financial Times of NA for their Global roll out of Kira Systems for Due Diligence.