Posts Tagged ‘eDiscovery Processing’
The Benefits of Collecting Native Files during Discovery
Collecting native files during the discovery process is crucial for ensuring the integrity of data and streamlining the legal process. By collecting data in its original format, organizations can preserve metadata and file structure, making it easier to identify and produce relevant information.
Read MoreDefensible ESI Data Integrity Starts at the Source
Data integrity is the maintenance and assurance of the accuracy and consistency of data over its entire life cycle. Data integrity is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data.
Read MoreTesting Search Terms in ECA Workspaces to Streamline Review
ECA Workspaces can be a valuable resource for legal teams to test existing search terms, identify new search terms, and reduce the amount of data ultimately being promoted to review.
Read MoreHow Data Analytics can Empower Strategic Data Decisions
The sheer volume of data is exploding, so much so that a puny one gigabyte of storage on one lowly flash drive could produce up to 100,000 pages of printed material. The data generated worldwide already has surpassed enough printed pages to comprehend.
Read MoreHow E-Discovery Project Management Improves Efficiency and Processes During Discovery
There’s nothing more important than having a strong advocate for your case. E-Discovery Project Managers see to it that your team is taken care of throughout the entire course of your matter. They are there to help you ensure deadlines are set and met, while also helping you avoid or adjust to unpredictable data.
Read MoreE-Discovery Processing Workflows Explained – What is De-NISTing?
De-NISTing is the standard eDiscovery practice of removing system files, and other non-user generated ESI from a dataset during the data processing stage. NIST refers to the acronym of National Institute of Standards and Technology.
Read MoreOCR Basics – Converting Images to Searchable Text
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.
Read More20 Commonly Used eDiscovery Processing Terms Explained
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.
Read MoreUnderstanding the Stages of the EDRM (Electronic Discovery Reference Model)
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…
Read MoreConsiderations During the Identification Stage of the EDRM
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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