Three-part webinar series
Many legal professionals are familiar with eDiscovery and the benefits the technology provides. However, what may not be common knowledge is the power that artificial intelligence brings to the table and the techniques that can be applied to achieve legal success.
eDiscovery AI excels at sifting through massive quantities of data to identify specific terms or concepts, even when those concepts are expressed differently. Because an AI system can scan data faster than any human and doesn’t get tired or distracted, it can evaluate data sets faster and more easily than a human while maintaining accuracy.
This three-part webinar series aims to help eDiscovery practitioners discover advanced techniques that offer higher levels of automation, completeness, and speed.
Reasons to attend:
Explore uncharted eDiscovery territory. Join us as we uncover the secret techniques used by eDiscovery experts. Learn how to:
- Supercharge your eDiscovery process
- Achieve greater efficiency and accuracy
- Better understand the data involved in legal matters through AI-based eDiscovery and Analytics
Part 1: How to speed up protection and redaction of sensitive data using Auto-Classification and Auto-Redaction
Date: July 29, 2021 | 1pm to 2pm EST
Lawyers handle a tremendous amount of sensitive information every day: clients’ personal data, including both personally identifiable information (PII) and protected health information (PHI), intellectual property, trade secrets, financial information, and much more.
During the review process, identifying and redacting sensitive information can be a time-consuming, aggravating, and error-prone task. There are two major challenges around redaction: efficiently identifying the pieces of sensitive information that may be hiding within reams of disclosable data and thoroughly redacting that information prior to production.
In this session, Jeffrey Wolff, Director of Legal Technology Solutions at ZyLAB, will demonstrate some advanced techniques review teams can use in order to achieve a more efficient process.
Here’s what we’ll cover:
- How to weed out non-relevant documents in your review;
- How to auto-identify sensitive information to avoid inadvertent disclosures;
- How to properly apply automatic redactions of Personal Identifiable Information or (PII) Personal Health Information (PHI) and avoid inadvertent disclosures.
Part Two – Fact-finding in eDiscovery – August 26th, 2021
Part Three – Handling non-standard ESI – September 30th, 2021
About the speaker:
Jeffrey Wolff has been serving as eDiscovery Director at ZyLAB since 2015 and currently oversees the product direction and marketing strategy for ZyLAB’s North American corporate market. Prior to joining ZyLAB, Mr. Wolff has over 25 years of professional experience in information systems and enterprise software. He has been involved in solution architecture, design, and implementation for a variety of major projects within the Department of Defense and Fortune 1000 corporations.