Optical Character Recognition, commonly known as OCR, is a term you hear frequently in the legal space when it comes to processing, reviewing, and producing documents. As with any tool, OCR should be used strategically and not blindly applied to entire data populations.

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When it comes to data processing and eDiscovery workflows there are various buzzwords and terms that are commonly tossed around in normal conversion. For those unfamiliar with the data handling and processing workflows, these can often be confusing. To aid in that, here are 20 common terms that are used by eDiscovery professionals that relate to the processing stage of the EDRM and overall electronic discovery process.

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The EDRM (Electronic Discovery Reference Model) refers to both a conceptual framework for understanding the stages within the overall eDiscovery process, and also the EDRM organization and community behind this framework and other resources. The EDRM model consists of nine stages: information governance, identification, preservation, collection, processing, review, analysis, production, and presentation. It essentially serves as a map of the electronic discovery…

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During the Identification Stage, the goal is to create and deploy a plan to identify, preserve, authenticate, and collect relevant ESI. Through identifying and defining preferred data sources that potentially hold relevant information, outlining defensible protocols to preserve and collect both structured and unstructured data, and establishing the context that this information is being used, legal teams can create a data map to aid in defining the scope of the case.

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Once the data has been identified through appropriate data mapping techniques, and defensibly collected by a certified forensic examiner the data moves onto the next stage within the electronic data reference model (EDRM). Following collection, the data will need to be processed for electronic discovery and further review. This can include converting file types into archivable structured formats to maintaining the files in native format for review.

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