Security, storage and systems management offerings provider Symantec is planning to introduce Transparent Predictive Coding to its Clearwell eDiscovery Platform in order to help organisations reduce the time and cost of document review.
With Transparent Predictive Coding, Symantec can aid organisations in accelerating the review process by leveraging the intelligence of expert reviewers to train the software so that it can automatically predict document relevance in order to streamline document review and increase accuracy.
In addition, with Transparent Predictive Coding, Symantec’s Clearwell eDiscovery Platform is expected to open the black box of predictive coding by providing unprecedented visibility into this training and prediction process and delivering context for more informed decision-making.
Transparent Predictive Coding features include: Smart Sampling, which offers sophisticated analytics by criteria such as custodian, discussion, concept and participant to ensure the selection of highly relevant training samples and Smart Tagging, which allows reviewers to highlight the metadata and content relevant to a tagging decision for more granular training, improving the accuracy of predictions and reducing the number of training cycles.
Furthermore, the predictive coding includes: a Prediction Insight rediction Workflow Management; Prediction Templates; Prediction Analytics; and Review Quality Control.
Symantec Product Management director Kurt Leafstrand said with Transparent Predictive Coding, Symantec will take the mystery out of predictive coding by providing a new level of visibility into the reasoning behind document decisions, and by documenting the entire process.
"This can help organizations defensibly and significantly reduce the time, risk and cost of eDiscovery review," said Leafstrand.
