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Relativity

Relativity

E-discovery platform for reviewing, analyzing, and producing documents in litigation and investigations.

Pricing
$$$
Classification
AI-Enhanced
Type
Platform Suite

What it does

Relativity is the leading e-discovery platform used by law firms, corporations, and government agencies to process, review, and analyze large volumes of documents in litigation, investigations, and regulatory matters. Its AI capabilities include Active Learning (a continuous active learning model that prioritizes documents for attorney review based on relevance), clustering algorithms that group similar documents, email threading and near-duplicate detection that eliminate redundant review, and Relativity aiR, a generative AI layer that helps reviewers draft privilege logs, summarize document clusters, and answer questions about the document set. Relativity processes billions of documents annually and is the standard platform in large-scale legal discovery.

Why AI-ENHANCED

Relativity is an established e-discovery platform that has meaningfully integrated AI-powered active learning, clustering, and generative AI review assistance into a mature document review product.

Best for

Mid-Market

Mid-size law firms and corporate legal departments handling complex litigation or regulatory investigations use Relativity to manage document review at scale - with AI prioritization reducing the cost and time of first-pass review significantly.

Enterprise

Large law firms, AmLaw 100 firms, and Fortune 500 legal departments use Relativity as the e-discovery standard for major matters - with AI active learning cutting review populations and generative AI accelerating privilege analysis and document summarization.

Limitations

Complex to administer at scale

Running large Relativity review projects requires trained administrators and experienced project managers — the platform's power comes with operational complexity that benefits from dedicated e-discovery expertise.

Pricing adds up on large matters

Relativity's per-gigabyte and per-user pricing can make large document-intensive matters expensive — active cost management and data culling before processing are essential.

Attorney review cannot be eliminated

AI active learning significantly reduces review volume but does not eliminate attorney review — privilege and relevance decisions still require attorney judgment for defensibility in litigation.

Alternatives by segment

If you need…Consider instead
Broader legal AI platformHarvey
Contract analysis focusLuminance
Legal compliance and privacyOneTrust
Pricing

Relativity pricing is based on data volume (per GB), active users, and hosting. Processing fees, hosting fees, and user license fees apply separately. Large matters can run from tens of thousands to millions depending on data volume. RelativityOne (cloud) has a SaaS pricing model.

Key integrations
Microsoft 365
AWS
Microsoft Azure
Nuix
Last reviewed

2026-03-31