When handling large discovery projects, it’s important to have the right tools to get insights into the structure of a data set. The Everlaw Data Visualizer generates interactive visualizations from any set of documents that provide key insights into document dates, metadata, contents, formats, review activity, and predicted relevance. This enables early exploration of document corpus by generating interactive, customizable visualizations from any set of documents, and by drilling down into data sets using the file path explorer.
With Data Visualizer, it’s possible to:
- Generate interactive visualizations from any set of documents that provide key insights into document dates, metadata, contents, formats, review activity, and predicted relevance
- Dig deeper into metadata, making it easy to drill down into the underlying file structure of documents in a data set
- Explore the relationships between documents at a glance without the need to review individual documents or conduct a predetermined search
- Leverage predictive coding data in comparison with other file attributes, making it easy to identify a broad class of relevant documents that might be missed by contextual and date filters
Join us for a webinar exploring how Data Visualizer can reduce costs and save time in ediscovery.Speakers
Jennifer Roberts is a Product Marketing Manager at Everlaw. Prior to Everlaw, she worked as the Director of Marketing for LexInsight and as a Senior Content Manager for Lawfty. Jennifer is a licensed attorney and has worked for companies in North America, South America, Europe, and the Middle East.
Erin is the Director of Business Development and Intelligence at Everlaw. Prior to Everlaw, she worked in eDiscovery consulting as a Senior Manager for the Forensic Technology Services team at A&M Asia out of their Hong Kong headquarters. Previous consulting firms include Stroz Friedberg and DTI. Erin is also a licensed attorney and has worked in the litigation industry for over 10 years.