Nevada (NV) E Discovery CLE Course Catalog

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?

This seminar provides an overview of the extent of the problem, plus new approaches to collecting and analyzing this data to make the process more manageable.

Today, organizations have more data at their disposal than ever before. Law departments, law firms and law companies are all sitting on a treasure trove of data that can be used to better assess both the legal problems clients have and the way legal services are provided and priced. Data scientists and legal operations specialists are being hired inside all of these organizations, but there is still a disconnect between what the client is hoping to see from the data and what they are currently getting out of it.

Adopting data analytics tools is a step in the right direction, however, there are still challenges that arise with providing clients with the specific information they want to see.