Reduce E-Discovery Storage Costs Through Nearlining


Reduce E-Discovery Storage Costs Through Nearlining

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By Michele Lange


Nearline. If this term isn’t in your ediscovery vocabulary, it should be.

Nearlining is a feature that allows litigation teams to quickly and easily set aside irrelevant documents and keep them separate from the active document roster in a discovery database. By moving noncritical data from active to nearline in a document review tool, databases remain nimble, and hosting costs are reduced, as nearline storage is less expensive.

Nearlining Promotes Speed

Ediscovery can move slowly at times, and most litigation teams are aware of the cost and time needed to effectively gather and isolate relevant documents in the ediscovery process. As such, they are eager to begin the process of reviewing (or at least compiling) documents sooner rather than later. Kroll Ontrack’s nearlining function allows those involved in the process to do just that, as described in a recent Review case study. Documents can be added to the pool early on, regardless of whether search terms have been determined. This allows litigation teams to collect broadly at the start and then hone in on relevant documents later, without adding increased costs.

Keep All of the Data at Your Fingertips

Ediscovery is an ongoing process, and the definitions of what data is appropriate or relevant to a matter change frequently, causing undue delays or costs. As discussed in a recent ESI Report podcast, nearline technology in Review allows users to set aside 100,000 documents in just 35 seconds with nothing more than the click of a mouse. The data is removed from the primary pool of relevant data but remains completely accessible. At any time, nearlined data can be brought back into the main pool, if the definition of what data is relevant or appropriate changes as the matter progresses.

Reduce Volume, Save in Data Hosting

A clutter-free data set is a beautiful thing. Nearlining streamlines the process of removing clutter by allowing users to quickly and easily identify and remove the obviously irrelevant “junk” data. This not only reduces the overall data footprint and saves on data hosting costs, but it also keeps the primary data pool smaller. Searches of that data pool will therefore be faster and much more focused.

Check out Kroll Ontrack’s latest case study and podcast to learn more about the savings that nearlining can bring in your next ediscovery project.

Further, to keep up with the latest ediscovery news and developments, straight from the mouths of the experts, download the current and archived episodes of the ESI Report, hosted by the Legal Talk Network.

About the Author

On the topics of ediscovery and technology’s role in the law, Michele is among the nation’s most knowledgeable experts. Most notably, she co-authored the American Bar Association book, titled “Electronic Evidence and Discovery: What Every Lawyer Should Know.” Fully knowledgeable in legal technology solutions and trends, she delivers thoughtful information through blogs, newsletters, webinars, videos and podcasts.

© Copyright 2015 Kroll Ontrack.  This articles was originally published on Kroll Ontrack’s blog.