eDiscovery, or electronic discovery, is the process of identifying, collecting, processing, reviewing, and presenting electronically stored information (ESI) that can be used as evidence in legal proceedings.
The “e” in eDiscovery signifies the electronic aspect of the process, as it primarily involves dealing with information stored in digital formats, including emails, documents, databases, social media posts, and more.
In today’s digital world, eDiscovery has become a crucial aspect of litigation, so there’s a growing demand for eDiscovery professionals with a solid understanding of eDiscovery projects and the tools and techniques necessary to manage them effectively.
An eDiscovery project involves identifying, collecting, processing, reviewing, and producing electronically stored information (ESI) in response to a litigation case, investigation, or regulatory requirement. It involves handling large volumes of electronic documents and data that may serve as potential evidence.
eDiscovery projects range from small-scale data collections to large, complex cases involving numerous custodians, disparate data sources, and varying legal jurisdictions. The intricacies of eDiscovery projects necessitate the skills of an eDiscovery project manager who understands the nuances of handling ESI in a document management system.
eDiscovery and litigation support services are typically provided by a third-party, like Everest Discovery, to assist in a legal case or investigation. eDiscovery and litigation support teams help law firms, law departments, and government agencies understand complex data sets and provide support in the face of legal disputes or investigations.
The eDiscovery process is a multi-stage process that begins with identifying potentially relevant data and extends to producing it for legal proceedings. eDiscovery typically follows the Electronic Discovery Reference Model or EDRM, which consists of the following stages:
Everest Discovery tailors each phase of the eDiscovery process to streamline and improve it. At each stage, specific tasks are carried out to ensure that the information is accurately gathered, maintained, and presented in compliance with relevant legal standards.
Effective eDiscovery project management plays a crucial role in ensuring the smooth transition from one stage to the next, thereby facilitating efficient discovery processes and enhancing the quality of the results.
During the eDiscovery process, all data relevant to the case should be collected. Some of the most common data types include email, mobile devices, chat application data, physical hardware, social media, and centralized document repositories. Everest Discovery emphasizes collecting comprehensive data to ensure that all potential evidence is accounted for, minimizing legal risks.
The review stage is typically the most expensive part of discovery. This is because document review requires significant manual effort, expertise, and time, especially when dealing with large volumes of data. Everest Discovery and our partners meticulously examine data for relevance, privilege, and compliance, ensuring accuracy while optimizing costs.
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center”,”_mask_position_tablet”:””,”_mask_position_mobile”:””,”_mask_position_x”:{“unit”:”%”,”size”:0,”sizes”:[]},”_mask_position_x_tablet”:{“unit”:”px”,”size”:””,”sizes”:[]},”_mask_position_x_mobile”:{“unit”:”px”,”size”:””,”sizes”:[]},”_mask_position_y”:{“unit”:”%”,”size”:0,”sizes”:[]},”_mask_position_y_tablet”:{“unit”:”px”,”size”:””,”sizes”:[]},”_mask_position_y_mobile”:{“unit”:”px”,”size”:””,”sizes”:[]},”_mask_repeat”:”no-repeat”,”_mask_repeat_tablet”:””,”_mask_repeat_mobile”:””,”hide_desktop”:””,”hide_tablet”:””,”hide_mobile”:””,”_attributes”:””,”custom_css”:””},”defaultEditSettings”:{“defaultEditRoute”:”content”},”elements”:[],”widgetType”:”spacer”,”editSettings”:{“defaultEditRoute”:”content”,”panel”:{“activeTab”:”content”,”activeSection”:”section_spacer”}},”htmlCache”:””}]}Early data assessment (EDA) is part of the early case assessment (ECA) process involving the examination of the entire data population at the onset of a potential legal case to identify relevant data. EDA is used to understand the data environment and estimate data volumes, helping to assess how much data will need to be reviewed.
Through techniques such as data sampling and data analytics, EDA identifies relevant documents and provides insights into potentially relevant evidence. EDA sifts through raw data, weeding out unnecessary data, and focusing on the most significant data for the case. The EDA results in a more efficient review process, improved decision-making, and cost savings.
Managed document review is not a one-size-fits-all process. It can take several forms, each suitable for different scenarios or objectives. The main types of document review include:
Everest Discovery provides comprehensive, secure, and cost-effective eDiscovery and litigation support services, tailored to meet the unique needs of law firms and legal teams.
