In modern litigation, corporations and law firms need a technological advantage to manage and maneuver through all types of documents, both electronically stored information (ESI) and paper-based materials. Even with state-of-the art technology, workflow, project management, documentation, and information management procedures, the success of a project is dependent on a myriad of factors.  

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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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There are many benefits to choosing a managed services provider, especially when managing high-volume and complex discovery projects. With managed service projects, the primary goal is long-term cost control via data management, frequent use of data repositories and documented repeatable workflows. 

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Computers inherently create mass amounts of duplicative data. In today’s age of massive data proliferation, duplicate and near-duplicate ESI have become big contributors to excessive data populations, rising legal cost, and even a decreased confidence in data for those without access to the appropriate technology to organize and search within this data. As a result, de-duplication and near-duplication identification have become standard workflows for most eDiscovery and review teams. 

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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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In recent years the information requests from Law Enforcement have been rising dramatically, with the majority of these requests either being subpoenas, search warrants, and court orders. There has been a colossal increase of over 500% from 2019 to 2020, and then in just the first 6 months of 2021 there has been nearly as many information requests as there was in total in 2020.

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Events and conferences can be a great resource for further developing your career, whether it be your goal is building your network, furthering your industry-specific education, or any number of other motivators. One benefit or byproduct of the shift towards more remote work across the legal industry is the increased number of online events, webinars, educational resources, and digital content being produced.

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Data analytics can play a huge part in reducing the overall size, time, and cost of a review project. When applied effectively, analytics not only help identify relevant data sets more efficiently but also aid in culling down data to a manageable size. With today’s evolving tech landscape , eDiscovery analytics tend to be powered by machine learning and AI technology.

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