Document review

Document review (also known as doc review), in the context of legal proceedings, is the process whereby each party to a case sorts through and analyzes the documents and data they possess (and later the documents and data supplied by their opponents through discovery) to determine which are sensitive or otherwise relevant to the case. Document Review is a valuable main staple of the type of work performed by attorneys for their clients, though it is increasingly common for the work to be performed by specialized document review attorneys.

Some types of cases that typically require large amounts of documents to be reviewed are litigation, mergers and acquisitions, and government and internal investigations (including internal audits). Regarding litigation, documents reviewed by attorneys are obtained through the discovery process, which is generally governed by rules of procedure for the presiding court. In cases in United States Federal Courts the rules related to discovery are Federal Rules of Civil Procedure (F.R.C.P.) 16, 26, 33, 34, 37, and 45 which were amended in 2006 to include electronically stored information.

Though attorneys do still review hard copy documents today, most documents are reviewed electronically either as native files that were originally created electronically or as electronic copies of documents that were originally created in a hard copy format. During the doc review process, each document may be tagged according to certain categories, including whether it is relevant to an issue in the case, whether it is responsive to a discovery request (and therefore may need to be produced as part of the discovery process), whether it is confidential, or whether it is attorney client or otherwise privileged. When large amounts of documents need to be reviewed electronically, often a system is set up that includes review software. This system is known as a platform. The terms electronic discovery and technology assisted review have arisen to reflect the dominance of electronically stored information and the increasing use of machine learning and other technologies to help curb the growing cost of document review.

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