Technology: Predictive coding cost savings and return on investment

Predictive coding usually will produce a largely positive ROI due mostly to the reduction in documents

E-discovery review: The same old way is no longer good enough

The review of potentially relevant content during discovery is by far the most expensive part of the discovery process, consuming on the average 71 cents of every dollar spent. This large percentage of the discovery cost is mainly due to the fact that every potentially relevant document has to be manually reviewed by human beings so that a decision on each document can be made as to whether it was responsive to the case and needs to be turned over or is privileged. This traditional review process is also known as linear review. The high cost comes from the fact that the average discovery can include three gigabytes of files per custodian and the average gigabytes can contain anywhere between 7,000 and 100,000 pages of documents. To complicate matters more, human reviewers can usually read and make a decision on between 45 and 100 pages per hour so a pre-culled set of documents totaling 10 GB could take a single human reviewer (at the most optimistic) 700 hours or approximately 87.5 days.

Calculating return on investment (ROI) for predictive coding

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Dean Gonsowski

A former litigator, general counsel and associate general counsel, Dean Gonsowski is the global head of information governance at Recommind and has more than 15...

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