Events

It seems we can’t find what you’re looking for. Perhaps searching can help.

ACEDS NY Metro Chapter: Advancing Your eDiscovery Career Into Privacy

Join the ACEDS NY Metro Chapter for a virtual event. Thanks to the GDPR, CCPA and the increased focus on data privacy, companies and law firms have been increasingly focused on data privacy compliance.The event will be a discussion with people who have been able to transition from an eDiscovery role to roles more focused […]

AI Series – Part I: Introduction to Machine Learning

Join the ACEDS NY Metro Chapter for a panel discussion on machine learning. Join data scientists from Brainspace, FRONTEO, NexLP and OpenText for an introduction to the technology that powers TAR and AI. We'll give a non-technical overview of how the technology works and how that might inform your workflows.Moderator: Lilith Bat-Leah, Senior Director of […]

AI Series – Part II: Soft Law, Ethics and Standards

Join the ACEDS NY Metro Chapter for a panel discussion This session will focus on ISO and IEEE standards/regulations for AI. It also intersects with concerns regarding racial justice and discrimination issues associated with technology, which highlights transparency/translucency issues also being addressed by standard-setting bodies.Moderator:Ignatius Grande, Director, Berkeley Research GroupIgnatius Grande is a Director at […]

AI Series – Part III: Practical Considerations for eDiscovery Practitioners

Join the ACEDS NY Metro Chapter for a Panel Discussion. Join the managers leading TAR and analytics teams at Hogan Lovells, Orrick and Paul Weiss for a discussion on practical applications of machine learning technologies for eDiscovery and investigations. They'll explain why using AI/TAR/analytics on real cases isn't nearly as complicated as many believe, how […]

AI Series – Part IV: The Process of Innovation in the Legal Tech Space

Join the ACEDS NY Metro Chapter for a panel discussion. Each of our three panelists have co-founded a legal tech company. They come from very different backgrounds and have employed very different approaches in solving problems. One is an Amlaw 50, Harvard law grad type. Another has a Carnegie Mellon masters in computer science with […]