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Relativity aiR Review, Pricing & Alternatives (2026)

AI-assisted review and case intelligence inside RelativityOne

Last updated: October 26, 2026

What is Relativity aiR?

Relativity aiR is a generative AI suite for litigation, investigations, privilege review, and case strategy. It runs inside RelativityOne for legal teams managing matter data there. Pricing is tied to data volume through pay as you go or one and three year commitments. Relativity does not publish a public dollar entry price, and some products or features may incur aiR Units or contract fees.

Relativity aiR website screenshot
Relativity aiR homepage, captured October 2026

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.

Relativity says aiR uses Microsoft Azure services and currently lists GPT 4o, GPT 4.1 mini, GPT 5 mini, GPT 5.1, and GPT 5.2 among its models. The model depends on the system objective and availability, so customers should not treat the list as a fixed selection. In 2025, Relativity announced Draft with AI for initial review criteria, sensitive business information and personal information analyses, and a Collect API planned for limited availability by year end. The pricing page describes MCP connections for Claude, Gemini, Copilot, and GPT Enterprise. Release notes cover deployment timing and environment differences. Relativity says customer data is not used to train or improve third party models or services. Buyers should verify supported models and regional behavior during procurement because availability can change by environment and release.

Relativity sells aiR through data volume rather than a public self serve subscription. Customers can pay as they go or commit for one or three years. The pricing page lists Assist, aiR Review, Privilege, and Case Strategy as included with committed data volume, with no separate AI licenses or per user fees. It marks claiR as coming soon, so it should not be described as currently included. Processing, analytics, Review Center, redaction, workflows, native viewing, transcription, and other lifecycle functions are also included in the platform subscription. Data Breach Response, Translate, FOIA, and Legal Hold are separate add ons. Some aiR products and features may consume aiR Units or incur contract fees, so no single all in price applies. Prospective customers should request a quote that separates committed volume, optional modules, government deployment, and usage based charges.

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.

Who is Relativity aiR best for?

  • Law firms running large RelativityOne discovery matters.
  • Teams needing cited AI review rationales and quality metrics.
  • Investigators combining review, privilege, and case strategy.
  • Public sector users requiring a FedRAMP authorized review environment.

Relativity aiR Pricing (2026)

Pricing model: Paid. All prices in USD.

PlanPriceWhat you get
Pay as you goCustomData volume determines pricing. Some aiR products and features may consume aiR Units or incur contract fees.
One year commitmentCustomCommitted data volume includes listed AI capabilities and core lifecycle tools. Volume and add ons are quoted.
Three year commitmentCustomCommitted data volume may provide commitment savings. Specialized add ons are licensed separately.
RelativityOne GovernmentCustomGovernment deployment uses Azure Government Cloud. aiR for Review became available in March 2025, with other availability varying by release.

Pros and Cons

Pros

  • AI review and privilege tools sit inside the case workspace.
  • Outputs include rationales, considerations, and document citations.
  • Review Center supports precision, recall, and elusion analysis.
  • Relativity says customer data is not used to train third party models.

Cons

  • Relativity does not publish dollar pricing.
  • The product depends on RelativityOne and contract terms.
  • Inference geography can differ from storage geography.

Who should look elsewhere?

  • Small teams seeking transparent self serve pricing.
  • Users wanting a standalone legal research assistant.
  • Organizations unwilling to process inference through Azure services.

Technical Details

Open SourceNo
Self-HostedNo
API AccessYes

Frequently Asked Questions

How much does Relativity aiR cost?

Relativity does not publish a dollar price. Customers can choose pay as you go, one year, or three year licensing tied to committed data volume. Assist, aiR Review, Privilege, and Case Strategy are listed with qualifying volume commitments rather than separate per user AI licenses. Data Breach Response, Translate, FOIA, and Legal Hold are separate add ons, while some aiR features may consume aiR Units or incur contract fees.

Is there a free Relativity aiR plan?

No free plan is advertised. aiR is sold within a paid RelativityOne subscription using data volume licensing. The pricing page describes commitment options and included capabilities, but it does not offer a public trial price or self serve tier. A quote depends on data volume, deployment, selected products, commitment term, and add ons.

How does aiR compare with Everlaw?

Both products support electronic discovery and AI assisted review. aiR is built for RelativityOne and combines review, privilege, case strategy, analytics, and governance within that environment. Everlaw is a separate cloud e discovery platform. Existing RelativityOne customers may prefer aiR's native workspace and validation tools, while new buyers should compare workflow fit, migration needs, security requirements, and quoted pricing.

Does Relativity use customer data to train AI models?

Relativity says customer data processed using aiR systems is not used to train or improve third party models or services. It also says processing uses Microsoft Azure and that inference may occur outside the Azure region hosting the instance, depending on model availability. Customers should review the applicable contractual security and data processing terms for their deployment.

Can developers connect to Relativity aiR?

Yes. Relativity describes open APIs, the App Hub, and Model Context Protocol connections to assistants including Claude, Gemini, Copilot, and GPT Enterprise. Its documentation also references a Billing Insights API and a Collect API announced for limited availability in 2025. Access, limits, product coverage, and charges depend on the selected Relativity products and customer agreement.