The distinction in plain English
TAR and Generative AI Review can overlap, but they should not be treated as interchangeable. The distinction matters because the choice of method affects what is preserved, how information is analysed, what can be validated and how the result should be described to lawyers, clients, regulators or courts.
A useful comparison starts with purpose. Ask what problem the team is trying to solve, what data is available, what level of evidential detail is required, what deadline and budget apply, and what limitations would matter if the process were challenged.
Where TAR fits
TAR is most useful when its capabilities match the factual and procedural needs of the matter. Teams should define the intended output before selecting the workflow, then test whether the method is producing information that is actually useful.
Where Generative AI Review fits
Generative AI Review may be better suited to a different stage, data type or review objective. The mere availability of a tool or technique is not a reason to use it; suitability depends on scope, proportionality, explainability and the quality controls available.
Decision factors
Consider purpose, data type, volume, metadata, recoverability, legal requirements, privacy, cost, speed, repeatability, validation and the skills of the team. In many matters the right answer is a combined workflow rather than an exclusive choice.
Common comparison mistakes
Avoid declaring a universal winner, comparing marketing labels rather than actual capabilities, or assuming that two products or methods perform identically because they use similar terminology. Document the criteria used for the decision.
Practitioner takeaways
- Define the use case before selecting a model or feature.
- Use approved data-handling arrangements for confidential evidence.
- Validate outputs against representative source material.
- Design human review, escalation and override deliberately.
- Document prompts/workflows, limitations and material changes.
Editorial review note
This article was newly authored from the approved eDiscovery Certification Council master editorial brief. Before publication, check any jurisdiction-specific legal requirements, product capabilities or standards references against current primary/official sources.