Exterro vs Relativity aiR: pricing, features and which to choose

Exterro was founded in 2004 in Portland, Oregon, by CEO Bobby Balachandran, and started with legal hold and eDiscovery software for corporate legal departments. Over the past decade it grew through acquisitions, most notably AccessData in 2020, which brought the FTK forensic toolkit used by law enforcement and incident response teams, along with privacy and governance products. Exterro now describes its category as data risk management, a single platform where legal, privacy, security and compliance teams handle litigation, investigations, regulatory requests and data subject requests from the same data map. Customers include large corporations, government agencies and police forces, and Exterro holds an annual user conference, XChange.

The platform has several product lines. Legal Hold issues and tracks preservation notices to custodians with reminders and audit trails. Exterro Review and processing tools handle collection, culling, review and production for eDiscovery. FTK Forensic Toolkit, FTK Imager and FTK Central cover device imaging, mobile and computer forensics and investigation case management. Privacy and governance modules manage data mapping, data subject access requests, consent and retention, and Smart Breach Review supports incident response. Because these share a data layer, a matter can move from legal hold to collection to review without exporting data between vendors. Deployment options include cloud and on-premises, which matters for law enforcement.

Exterro's strength is breadth: few vendors combine legal hold, forensics, eDiscovery and privacy operations with a single data map and agentic automation. Its weaknesses are enterprise pricing, implementation effort and a review interface that some users find less polished than specialist tools. Relativity and RelativityOne dominate large-scale review with aiR. Everlaw and DISCO offer cloud review with generative AI that many law firms prefer. Logikcull and Nextpoint suit smaller teams with simpler pricing. OneTrust leads in privacy operations, and Cellebrite in mobile forensics. Choose Exterro if your legal and compliance teams want one governed platform for holds, investigations and data requests.

Relativity aiR is Relativity's generative AI suite for legal data intelligence inside RelativityOne. It targets litigation, investigations, document review, privilege work, and case preparation. Relativity announced limited availability for aiR for Review at Legalweek 2024, followed by general availability for Review in September 2024 and Privilege in November 2024. The company reported more than 100 million aiR document decisions during the 20 months ending in October 2025. Relativity also reported $160 million in research and development investment for 2025, a company wide figure rather than an aiR budget. The suite is designed for legal teams that need review controls, auditability, and AI assistance within an existing case data system. Its positioning therefore emphasizes controlled deployment within established litigation workflows rather than replacement of attorneys or outside counsel.

Relativity aiR begins with extracted text and images in a RelativityOne workspace. In aiR for Review, a user writes natural language criteria, tests prompts on a smaller subset, and analyzes a collection. Results identify significant documents, explain their relevance, and cite supporting passages. Privilege analyzes documents and relevant personas, predicts privilege, and drafts privilege log descriptions. Case Strategy supports fact extraction, timelines, summaries, and work product. Assist provides conversational search over legal data. Outputs include rationales and considerations, while Review Center can calculate precision, recall, and elusion metrics for quality control. These controls make the system more suitable for defensible review than a general purpose chatbot operating outside the matter workspace. They also give review leaders a structured basis for sampling, escalation, and documenting decisions before production.

The main limitation is that aiR depends on RelativityOne, which makes it less suitable for teams choosing a standalone review system. Inference may occur outside the instance storage region when Azure model availability requires it, although Relativity says customer data is not used to train third party models. Everlaw offers a separate cloud discovery platform with comparable AI review workflows, while DISCO focuses on cloud discovery and case preparation without requiring RelativityOne. Clearbrief focuses on cited drafting and discovery-related writing, and Briefpoint supports automated legal drafting as an add-on product. Westlaw Precision is aimed at legal research rather than matter data. Choose aiR when review, privilege, validation, and case intelligence should remain in one RelativityOne workspace. Confirm regional processing, contract scope, and migration costs before standardizing on it.