Assisted Review

Relativity's assisted review tools help you categorize your documents and automate the review process while minimizing the time your review team would otherwise spend coding irrelevant documents in your document set.

Review Center gives you the option of using customizable saved searches to serve up documents to reviewers, or using AI-powered queues that predict which documents are most relevant.

Note: Sample-based learning has been removed from Assisted Review and replaced with Review Center and Active Learning. To view reports for old sample-based learning projects in your workspace, see Report sample-based statistics.

Review Center

Review Center

Creating a Review Center queue

Monitoring a Review Center queue

Reviewing documents using Review Center

Review validation

Review validation statistics

Review Center security permissions

Active Learning

Active Learning

Creating an Active Learning project

Choosing an Active Learning review queue

Best practices for Active Learning review

Monitoring an Active Learning project

Project Validation and Elusion Testing

Reusing trained models

Review statistics

Active Learning performance baselines


aiR for Review

aiR for Review

Running aiR for Review

Monitoring aiR for Review jobs

aiR for Review results

aiR for Review security permissions

Note: aiR for Review is currently in limited release. For information about the general release, contact your account representative.

On-demand training

Getting Started with Review Center

Active Learning: No Batches Required

Project Validation Strategies in Active Learning

Getting the Most out of Active Learning: Workflows and Use Cases

Active Learning Ask the Expert: Expanding your Options with Family-Based Review

Your Active Learning Questions Answered

Knowledge base articles

Review Center compared to Active Learning

Review Center - Multiple queues powered by the same classifier

How to control what fields appear on the Documents card in the Review Center Viewer

Using Review Center for Batching

Workflows for Applying aiR for Review

aiR for Review example project

aiR for Review Prompt Writing Best Practices

White papers

A Focus on Security and Privacy in Relativity’s Approach to Generative AI

Active Learning in RelativityOne Review Center

Active Learning in Technology-Assisted Review

Understanding the Components of Assisted Review and the Workflow That Ties Them Together