Editor’s Note: EDRM is proud to support the seventh semi-annual Predictive Coding Technologies and Protocols Survey conducted by ComplexDiscovery.
The initial six surveys provided detailed feedback from approximately 384* legal, business, and technology professionals on the use of specific machine learning technologies in predictive coding and also highlighted the usage of those machine learning technologies as part of example technology-assisted review protocols. This iteration of the survey continues to focus on predictive coding technologies, protocols, workflows, and uses across the eDiscovery ecosystem. Originally consisting of four core questions, beginning in the fall of 2020 the survey included one new question on the prevalence of predictive coding usage as part of eDiscovery workflows.
Predictive Coding Technologies and Protocols (Survey)
A Five-Question Survey
Pleasee click here to take the simple five-question survey designed to capture the current application of technologies, protocols, workflows, and uses of predictive coding in the eDiscovery ecosystem.
Legal, information technology, and business professionals involved in organizational activities involving the use of predictive coding are encouraged to complete the short five-question survey.
Results of the survey (excluding responder contact information) will be aggregated and published on the ComplexDiscovery blog for usage by the eDiscovery community.
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