West Virginia (WV) 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.

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?

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?

Seasoned attorneys will address tips and strategies for the effective use of expert witnesses.

One of the greatest challenges for today’s litigators is running disputes as timely and efficiently as possible. Speakers in this session will pinpoint exactly which resources are needed, how much time and effort is required, and how to manage costs when dealing with outside vendors.

Join this session as our veteran practitioners discuss why your team should create ESI protocols; some of the common pitfalls that occur around this process; and how to prevent common discovery disputes stemming from electronic data.

In this session, our data scientists and privacy experts will share emerging solutions for extracting and protecting private information throughout the discovery process.

This program will use a hypothetical lawsuit where a team of engineers have been using three forms of emerging data sources for communication, which will need to be preserved, collected, reviewed and produced per the request for production from plaintiffs' counsel. We'll navigate the process, considerations and risks while we navigate this hypothetical scenario. During the program, you will hear tips and tricks related to identification, collection, and preservation of ESI from an expert with Ankura, outside counsel, and in-house counsel for T-Mobile.