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6 Ways Processing Can Get You Into Your Data Faster

Rene Laurens

The Relativity development team responsible for evolving Relativity Processing rarely gets the spotlight. As excited as they are about adding new features and functionality to improve performance and expand its abilities, they understand what you’re really after is speed to the next stage: review.

No hurt feelings. The team is constantly working to improve the moving parts and support speed to review, knowing that the end goal is to give you everything you need to get into—and out of—the processing stage as efficiently as possible. Here are six ways you can use the latest version of Processing to help make that happen.

1. Support for diverse file types, including Relativity Collection Container Files version 1.1 and 1.2, as well as eDrawings 2014 and 2015—both of which are highly recommended for optimal performance, so you can get more data into Relativity in less time. An updated NIST package was also recently introduced. You can reference a list of supported file types at any time to help you prep for incoming projects.

2. New options in the processing profile when extracting children—specifically, you can now opt not to extract inline images in emails. Excluding those extractions will help keep your views—especially email threads—cleaner, and prevent duplicative work for your review team.

3. Two new fields—De-duped Custodians (a multi-field object) and De-duped Path (a long-text field)—allow users to identify the custodian and the file path of de-duped versions of a document. Capturing this information helps ensure defensibility and thorough reporting for your de-duplication workflows. De-duplication is a big way to save time on unnecessary work, and thorough data around that workflow can help prevent other complications during a case.

4. Simpler unlocking options for password-protected files will mean your team can open and ingest that data faster and with less hassle.

5. A file size summary report with an updated report interface can help you identify the actual size of your processed data sets. That insight can help your team with infrastructure planning, project scoping, and other case prep.

6. Added infrastructure efficiencies support a more continuous processing experience and overall performance improvements. A smoother hardware process means a more seamless experience for your end users, and more rapid progression from one step to the next.

Do you agree that processing is all about speed and efficiency, or is it more than just a step toward review? Share your comments below.

Rene Laurens is a member of the Relativity solutions group, assisting case teams with processing, searching, and analytics workflows. He has more than eight years of litigation support experience, specializing in e-discovery, databases, and project management.

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