Narrowing down the universe of relevant documents as quickly as possible to expedite review and production is the greatest challenge in any eDiscovery matter. AutoRank allows clients to fully realize the benefits of Relativity Active Learning at any stage of the search, review, and production process while maintaining the flexibility to review documents based on matter-specific production priorities.
Thought Leadership and Industry Trends
In this series, we explore a series of proprietary automations for review, analytics, reporting and database management that comprise the CDS Vision 2.0 feature release which streamlines and automates time-intensive, essential processes for CDS Relativity users.
In 2021, CDS launched CDS Vision, proprietary dashboards designed to help users harness the full power of RelativityOne. Enjoy part 3 of our 3-part blog series on how CDS deploys data visualizations to empower clients to raise their eDiscovery game.
Data visualizations help review teams make fast progress on complicated matters with enormous, varied datasets. In Part II of a three-part blog series, our experts provide examples and use cases for leveraging data visualizations.
Visualizations drive smarter workflows, more efficient classification and better QC so eDiscovery projects stay on time and on budget. Part I of a three-part blog series reviews how data visualizations equip eDiscovery practitioners to take control of a data explosion.
Electronic discovery is a data-driven, technology-dependent endeavor, but the most vital, valuable component rests entirely with human beings. Attorneys, project managers and litigation support professionals are responsible for the crucial coding decisions, productions and presentations that support or refute the legal arguments in a matter.
Mastery over eDiscovery, the legal discovery process in which relevant electronically stored information is identified, preserved, collected, processed, reviewed and produced between parties in a legal proceeding, is becoming a crucial competency for the modern practice of law.
Data Intelligence in the context of eDiscovery can have many different meanings. Defined broadly, data intelligence is the quest to organize, analyze, understand, and transform raw data into a format that can tell a story and inform critical legal decision making.
For most attorneys and litigation support professionals, their first look at potentially relevant electronically stored information (ESI) occurs after data has been preserved, collected, processed and loaded into a review platform. This crucial stage in any eDiscovery matter helps inform review strategies, the need for further collection and ultimately, production deadlines.
The challenge for any legal professional approaching a complex discovery matter is to parse through the mountains of potentially relevant electronically stored information to gain insight and build a narrative that supports their arguments with evidence.
In eDiscovery, it can be very helpful to conduct a preliminary analysis of the communications of the key parties. By doing so in the early stages of a matter or investigation, reviewers can gain insights on the individuals and discussions that may be most relevant.
Early Case Assessment (ECA) enables law firms and companies to significantly reduce costs by eliminating non-relevant data while providing valuable insight into data sets early in the discovery process. While ECA tools and methods have become more mainstream in the last few years, there are still many features and benefits that are not well-known or understood.