Extract from Rob Robinson’s article “Casting a Wider Net? Predictive Coding Technologies and Protocols Survey – Fall 2020 Results”
Editor’s Note: These are the results of the fifth semi-annual Predictive Coding Technologies and Protocols Survey conducted by ComplexDiscovery. As of today, the five surveys have provided detailed feedback from 319 legal, business, and technology professionals on the use of specific machine learning technologies in predictive coding. The surveys have also provided insight into the use of those machine learning technologies as part of example technology-assisted review protocols.
This iteration of the survey had 85 responders and continued to focus on predictive coding technologies, protocols, workflows, and uses across the eDiscovery ecosystem. The fall 2020 survey also included one new question on the prevalence of predictive coding usage as part of eDiscovery workflows.
The Predictive Coding Technologies and Protocols Fall 2020 Survey
The Predictive Coding Technologies and Protocols Survey is a non-scientific survey designed to help provide a general understanding of the use of predictive coding technologies, protocols, and workflows by data discovery and legal discovery professionals within the eDiscovery ecosystem. The fall 2020 survey was open from August 7, 2020, through August 14, 2020, with individuals invited to participate directly by ComplexDiscovery.
