Harvey AI vs Relativity aiR: Research vs Discovery AI

Harvey AI and Relativity aiR are both enterprise legal AI platforms with significant price tags, but they target different phases of litigation work. Harvey AI handles legal research, drafting, and analysis. Relativity aiR handles document review and e-discovery. One helps you build the case. The other helps you find the evidence.

For litigation-heavy firms making enterprise AI budget decisions, the question is not which is better — it is which investment moves the needle first. Both can deliver six-figure annual savings in associate hours. The right choice depends on where your firm currently bleeds the most time.

Feature Comparison

Harvey AI focuses on legal research and analysis, contract review and drafting, deposition preparation, due diligence workflows, and custom training on firm data. It is a general legal AI platform that handles intellectual work across practice areas.

Relativity aiR focuses on AI-powered document review, privilege detection, key document identification, sentiment analysis across document sets, and AI-generated review summaries. It is purpose-built for large-scale document processing in litigation and investigations.

Harvey AI makes attorneys smarter. Relativity aiR makes document review faster. Harvey AI reduces the time to research and draft. Relativity aiR reduces the time to find relevant documents in a sea of data.

Pricing and Cost

Harvey AI is estimated at $150-300/seat/month with seat-based annual contracts and minimums. It is enterprise-only pricing — no small firm options.

Relativity aiR is part of RelativityOne (cloud) with per-GB pricing for hosting plus AI features, under enterprise contracts. Costs scale with data volume rather than seat count. Relativity is already the dominant e-discovery platform, valued at $3.6B.

Both are six-figure annual commitments for meaningful deployments. Harvey AI costs scale with attorney headcount. Relativity costs scale with data volume. Firms that handle high-volume document review may find Relativity's per-GB model more predictable than Harvey's per-seat model.

Data Privacy and Compliance

Harvey AI holds SOC 2 Type II certification, does not train on client data, and offers enterprise data agreements.

Relativity aiR is FedRAMP authorized, SOC 2 Type II compliant, and HIPAA compliant. It meets the highest government and healthcare security standards — a significant differentiator for firms handling government investigations, healthcare litigation, or data subject to regulatory requirements.

Relativity aiR has the stronger security credentials. FedRAMP authorization is a meaningful differentiator for firms that handle government-adjacent work.

Best For

Choose Harvey AI if your firm's bottleneck is research, analysis, and drafting. Harvey AI reduces the time attorneys spend on intellectual work — reading cases, synthesizing arguments, preparing for depositions, reviewing contracts. It is strongest in practices where the thinking is the expensive part.

Choose Relativity aiR if your firm's bottleneck is document review. If you routinely handle matters with tens of thousands of documents requiring privilege review, relevance coding, or key document identification, Relativity aiR directly reduces reviewer hours. It is strongest in e-discovery-heavy litigation.

Both make sense for large litigation firms. Some Am Law firms deploy Harvey for attorney-level work and Relativity for review-level work.

The Verdict

If your firm already uses Relativity for e-discovery (most litigation firms do), adding aiR features is the lower-friction investment — you are enhancing an existing platform. If you do not handle high-volume document review, Harvey AI's broader capability set across research and drafting delivers more daily value. For firms that bill significant hours on both research and document review, the combined deployment can justify both investments by reducing the most expensive line items on the budget.

The Bottom Line: Harvey AI accelerates legal research and drafting; Relativity aiR accelerates document review — your choice depends on which bottleneck costs your firm more.