What does the term "Predictive Coding" refer to in the context of Relativity?

Predictive Coding refers to an advanced AI-driven technology that prioritizes documents for review, making it a vital tool in the eDiscovery process within Relativity. This technology utilizes machine learning algorithms to analyze previously reviewed documents, learning from the decisions made by human reviewers. As it processes a corpus of documents, Predictive Coding can identify which documents are likely to be relevant or irrelevant to a particular legal matter based on the patterns it has recognized. This significantly streamlines the review process, allowing teams to focus on the most pertinent materials while reducing the overall volume of documents that require manual examination.

The other options describe processes and technologies that do not align with the function of Predictive Coding. Manual review processes indicate a more time-consuming method that lacks the efficiency brought by AI techniques. Encrypting sensitive data pertains to security rather than document prioritization for review. Generating random samples does not relate to the intelligent sorting of documents based on relevance or quality, which is the essence of Predictive Coding.