What does "Predictive Coding" refer to in RelativityOne?

Predictive coding refers to a machine-learning approach used in e-discovery that assists in identifying relevant documents. It leverages algorithms to analyze and categorize documents based on previously reviewed examples, allowing the software to learn and make predictive judgments on future documents that need to be reviewed. This method significantly enhances the efficiency of the review process by focusing human review resources on the most pertinent materials, reducing the overall volume of documents needing detailed examination. It also aids in ensuring a more consistent and objective review, minimizing human error and bias. Thus, this predictive capability fundamentally transforms how legal teams handle large volumes of data during the discovery phase, making it a valuable tool in RelativityOne.