eDiscovery is said to be the most expensive aspect of litigation and with the massive of amounts of technological information that is part of the litigation process this should be no surprise. The majority of eDiscovery costs are typically associated with the people who perform the review stage of the eDiscovery process. In order to ensure that relevant information is produced during the discovery process legal staff and third party vendors must sift through tons of electronic information that includes social media posts, emails, voicemails, text messages, computer hard drives and other electronic information. This can be a tedious and lengthy process for even the best trained eDiscovery professional, but now with new developments that rely on artificial intelligence the human element can be reduced and or all together eliminated. Artificial intelligence (Al) can do what a human can do in a fraction of the time reducing the reliance on humans during eDiscovery. Artificial intelligence is simply the use of technology to aid in identifying, preserving, collecting, processing, reviewing, and presenting electronic information. Some of the emerging technologies that use Al for eDiscovery are early data assessment, predictive coding, technology assisted review. This session will attempt to demystify how to incorporate Al into the eDiscovery process to ensure accuracy, precision, and speed.
This session will cover the following topics:
- Introduction of eDiscovery
- Overview of Artificial Intelligence
- Early Data Assessment
- Technology Assisted Review
- Advantages and Disadvantages of Predictive Coding
Register for this session today!
Time: 10:00am to 2:00pm PST