Active Learning is an application that lets you run continuously updated queues of documents for review, based on your review strategy. The advantages of Active Learning include real-time …

This guide provides step-by-step instructions for creating and administering an Active Learning project, with an Active Learning project checklist included at the end of the guide.

After a project admin creates and saves a new Active Learning project, Relativity creates a new document list view that's tied to the Active Learning project. This view is automatically secured …

Active Learning works by using a technology called Support Vector Machine learning to continuously learn from your reviewers' coding decisions. Reviewers code documents using a …

For years, Relativity customers have used technology assisted review (TAR) to achieve greater efficiencies and better results. In 2023, Relativity released Review Center in RelativityOne, …

You must create each of these components before you can create an Active Learning project. Even if these items already exist in the workspace, you may want to create a new instance of …

This guide provides step-by-step instructions for creating and administering an Active Learning project, with an Active Learning project checklist included at the end of the guide.

This article is intended as a reference for reviewers in an Active Learning project. We’ve included best practices and overall considerations for working with computer-assisted review.

Oct 6, 2025 · How do you get around the max number of documents for Project Validation in Active Learning? We have a large TAR universe of documents, and when setting the …

In this introductory session we provide a high level overview of Relativity's Active Learning tool, covering its components, workflows, and common use cases.