Arkansas (AR) Discovery CLE Course Catalog

Okta's 2023 Businesses at Work report reveals that companies with 2,000 employees now deploy an average of 211 apps, marking a 24-app increase from last year. Even smaller companies tend to use over 90 apps. While not all of these apps will contain relevant information for eDiscovery, they do point to a growing concern for in-house teams, law firms, and service providers: how to handle the ever-increasing amount of content, collaboration, and chat data. Legal teams must adapt to this trend and learn the best practices for managing the systems powering their business, whether it's emoji-laden messages in Slack or Teams, Confluence wiki pages, or Zoom meeting recordings.

Join this session as our experts outline the most prominent cases dominating 2023, how they will impact the law going forward and big cases that are likely to hit the docket soon.

At every conference someone asks, “what is AI?” and “how does it apply in eDiscovery”? Our panelists have the answers, and they’ll share them with you – not by trotting out some dry academic definition but via example. By the time this session is done, you too will be able to answer those questions with confidence.

eDiscovery technology went big in 2022, delivering ever more extensive capabilities in eDiscovery and stretching out to other areas such as compliance, cyber, continual monitoring, and more. Hear how our speakers use AI and legal tech to push to and past traditional eDiscovery boundaries – while delivering new solutions that solve old problems more effectively, efficiently, and affordably than ever.

A growing challenge is how to manage chat discussions, both in eDiscovery and Information Governance. In this moderated panel session, our experts will delve into issues of ingestion, retention, permissions, and collaboratively discuss the solution paths to the question of what to do with chat in eDiscovery and Information Governance.

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?

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.