Content Assessment: The Workstream of eDiscovery - Considering Processes and Tasks
Information - 91%
Insight - 89%
Relevance - 94%
Objectivity - 95%
Authority - 90%
A short percentage-based assessment of the qualitative benefit of the post highlighting the workstream eDiscovery processes and tasks.
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The Workstream of eDiscovery
From the trigger point for audits, investigations, and litigation to the conclusion of cases and matters with the defensible disposition of data, there are countless ways data discovery and legal discovery professionals approach and administer the discipline of eDiscovery. Based on an aggregation of research from leading eDiscovery educators, developers, and providers, the following eDiscovery Processes and Tasks listing may be helpful as a planning tool for guiding business and technology discussions and decisions related to the conduct of cybersecurity, information governance, and legal discovery-related eDiscovery projects. The processes and tasks highlighted in this listing are not all-inclusive and represent only one of the myriads of approaches to eDiscovery.
- Haslam, A. (2022). eDisclosure Systems – Buyers Guide. 2022 ed. [ebook] Allvision Computing. Available at: https://complexdiscovery.com/the-edisclosure-systems-buyers-guide-2022-edition-andrew-haslam// [Accessed 17 June 2022].
- European Union Agency for Cybersecurity, 2020. Artificial Intelligence Cybersecurity Challenges. [online] European Union Agency for Cybersecurity. Available at: https://digital-strategy.ec.europa.eu/en/library/report-artificial-intelligence-cybersecurity-challenges [Accessed 17 June 2022].
- EDRM | Empowering the Global Leaders of eDiscovery. 2022. EDRM. [online] Available at: https://edrm.net/ [Accessed 17 June 2022].
- Robinson, R., 2022. Considering Cyber Discovery? A Strategic Framework. [online] ComplexDiscovery. Available at: https://complexdiscovery.com/ [Accessed 17 June 2022].
- All, A., 2014. Data Discovery Is Changing Business Intelligence. [online] Enterprise Apps Today. Available at: http://www.enterpriseappstoday.com/business-intelligence/data-discovery-is-changing-business-intelligence.html [Accessed 17 June 2022].
- Grossman, M. and Cormack, G., 2013. The Grossman-Cormack Glossary of Technology-Assisted Review. Federal Courts Law Review, [online] 7(1). Available at: https://www.fclr.org/fclr/articles/html/2010/grossman.pdf [Accessed 17 June 2021].
- Wikipedia. 20221. Insight. [online] Available at: https://en.wikipedia.org/wiki/Insight [Accessed 17 June 2022].
- In: Lexico (Oxford). 2022. Intelligence. [online] Available at: https://www.lexico.com/definition/intelligence [Accessed 17 June 2022].
- Dimm, B. (2016). TAR 3.0 and Training of Predictive Coding Systems. [online] Cluster-text.com. Available at: http://www.cluster-text.com/papers/TAR_3_and_training_predictive_coding.pdf [Accessed 17 June 2022].
- Grossman, M. and Cormack, G. (2016). Continuous Active Learning for TAR. Practical Law, [online] (April/May). Available at: https://plg.uwaterloo.ca/~gvcormac/caldemo/AprMay16_EdiscoveryBulletin.pdf [Accessed 17 June 2022].
- Losey, R. (2018). e-Discovery Team ®. [online] e-Discovery Team ®. Available at: https://e-discoveryteam.com/ [Accessed 17 June 2022].
- Macauley, C. (2016). Forensic Matters: Further advances in TAR. [online] KordaMentha. Available at: https://www.kordamentha.com/News-and-Insights/Further-advances-in-TAR [Accessed 17 June 2022].
- Socha, G. and Gelbmann, T. (2005). Electronic Discovery Reference Model. [online] Edrm.net. Available at: https://www.edrm.net/frameworks-and-standards/edrm-model/ [Accessed 17 June 2022].
Click here to recommend additions, adjustments, and/or updates.
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eDiscovery Processes and Tasks - ComplexDiscovery - 061722
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