Vermont (VT) E Discovery CLE Course Catalog

Learn what you need to know about the admissibility of emojis and how to handle them in discovery and at trial.

Widespread adoption of tools such as Gchat, Zoom and Microsoft Teams has changed the way companies not only communicate but also collaborate internally and externally. As a result, these new forms of communication provide new ESI challenges for the eDiscovery community, especially as each of these tools differ from one another and pose their own unique challenge.

Join us as we look back at the year in data law and what it means for the year ahead. We’ll discuss some of the important data law news developments of the year with Zach Warren, editor-in chief of ALM’s Legaltech News, and provide in-depth legal analysis from the bar and bench on these topics with practitioner and judicial perspectives on issues where electronic data are involved, such as access to justice and the attorney-client privilege, sanctions in e-discovery with a default judgment in the Sandy Hook cases, legal and practical considerations in remote legal proceedings, and more.

2022 will continue to consist of employees located everywhere, and relying upon Microsoft Teams, Zoom, Slack, and mobile apps to get their jobs done. This is having profound effects on eDiscovery, most of which still depends on tools and review processes designed for email. How can firms prepare for the discovery onslaught of persistent chats, video recordings, whiteboards, and emojis?

Are you adrift in a sea of legal information? Strap on your flippers and don't fear the shark. We'll tell a salty tale or two and explore these issues together on a deep dive.

Norton Rose Fulbright’s David Kessler, Anna Rudawski and Sam Sessler work together guiding clients through the investigation, containment, and remediation of some of the world’s most high-profile cybersecurity incident response matters. Join us as they discuss legal considerations and data and reporting challenges, while also sharing practical strategies, tools and workflows for practicing effectively in this complex area.

Law firms and their clients across industries are seeing a significant increase in cyber incidents. Leveraging familiar eDiscovery and Analytics tools can be an integral part of effectively responding to these incidents. However, it is imperative to understand what makes these matters unique (including scope and workflow) to ensure a strong and defensible outcome all while often under time and cost pressures.

Given the sheer amount of discoverable data that's out there, the ability to distinguish actual from pseudo privileged information is nearly impossible without the application of "smart" auto-extraction & sifting tools. With communication channels and data sources constantly evolving, is the tedious approach keyword search approach to privilege review still the right option? It does get the job done but with the power of data science & automation at your disposal, why not save time and money?

Technology-assisted review has come a long way since its early introduction as predictive coding. While each version has its merits and place, it is important to understand that in order to select the right approach for your discovery needs, one must truly understand the underlying process and variables such as time and cost. However, has the time come for TAR 3.0 and what does that look like for discovery professionals?