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Structured Data e-Discovery

By Wendy Predescu and Philip Zimmermann
August 02, 2015

Courts are increasingly ordering counsel to identify and produce information beyond traditional e-mail and loose files. Whether its employee and payroll data related to a wage and hour dispute or trade data related to a market manipulation investigation, understanding the Electronic Discovery Reference Model (EDRM) as it relates to increasingly larger volumes of structured data has never been a more critical e-discovery capability. Structured data repositories, whether live or deactivated legacy systems, reside behind all corporate firewalls. This structured information is often complex and no two repositories are the same. A forensic examiner may encounter complex data models, encrypted fields, and highly customized, proprietary or third-party systems which may make data retrieval difficult. As a result, collection, processing and hosting methods are unique to each case and dictated by the structured data relevant to the matter.

Structured data is electronically stored information (ESI) that is organized and stored in a structured format, often in a database, mainframe or other repository. This article outlines some key differences between structured and unstructured e-discovery processes, structured data challenges, and key considerations that lead to accurate productions in a cost-efficient manner.

Identification

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