Understanding Technology-Assisted Review: A Practitioner's Guide
Machine learning has quietly rewritten the rules of document review. Here's what every legal professional needs to know before their next large-scale matter.
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Jump into the same curated resource categories available in the full library: guides, case law, vendor documentation, research, and practitioner references.
Foundational Resources
Essential guides and documentation for understanding TAR fundamentals
2 resources →Court Guidance & Case Law
Key legal decisions and judicial guidance on TAR procedures
2 resources →TAR Workflow Summary
Overview of standard TAR workflows and approaches
2 resources →Key Metrics to Understand
Essential metrics for measuring TAR effectiveness
1 resource →Glossary of Key Terms
Essential terminology for TAR practitioners
1 resource →Quick Start Learning Path
Curated learning path for getting started with TAR
1 resource →Featured Calculator
Start with the prevalence sample results calculator, then move into the full tools library when you need deeper analysis.
Terminology Framework
Click a card to reveal its definition. Master these core TAR concepts to communicate more clearly with stakeholders.
Glossary TermRichnessClick to reveal
Definition
The share of documents in a population that are actually responsive.
Why it matters: Low richness changes sample sizes, expectations, and review cost.
Glossary TermElusionClick to reveal
Definition
A sample-based estimate of what responsive material may remain in the unreviewed set.
Why it matters: It informs stopping decisions but never proves a perfect review.
Glossary TermControl SetClick to reveal
Definition
A fixed reference sample used to compare workflow behavior over time.
Why it matters: Helpful in some workflows, but weak design can mislead.
Glossary TermRecallClick to reveal
Definition
The share of truly responsive documents that were found by the workflow.
Why it matters: Often the headline metric in defensibility discussions.
Glossary TermPrecisionClick to reveal
Definition
The share of documents marked responsive that were actually responsive.
Why it matters: It affects cost and reviewer burden more than completeness.
Glossary TermSampling ErrorClick to reveal
Definition
The uncertainty introduced when a conclusion is based on a sample instead of the full population.
Why it matters: It is the reason confidence intervals exist.