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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: The Active Learning application is now read-only. Create new projects in Review Center.
If you have Active Learning and Review Center installed in your workspace, you can view data for previous projects on the Active Learning History tab. Please note that uninstalling Active Learning removes the project data.
For more information, see:
Review Center
Active Learning
- Active Learning application history (accessed through Review Center)
- 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
On-demand training
- Review Center Foundations: Create/Edit Queue Templates and Manage Queues
- Active Learning Ask the Expert: No Batches Required
- Active Learning Ask the Expert: Securing Trust
- Active Learning Ask the Expert: Getting the Most out of Active Learning with Workflows and Use Cases
- Active Learning Ask the Expert: Expanding your Options with Family-Based Review
