The pricing reality
Updated August 2026: pricing figures in the original April version of this analysis have been removed or corrected. Harvey figures were unconfirmed third-party estimates; Irys figures were out of date.
Harvey AI is one of the most well-funded legal AI companies in the market. More than $200 million raised in March 2026 alone, at an $11 billion valuation. A product designed for the largest law firms in the world.
The price reflects that positioning. Harvey does not publish standard pricing: buying it means a demo-led enterprise sales process and a custom quote. Specific per-seat figures circulate on third-party comparison sites, but none are confirmed by Harvey, and the sourcing behind them does not hold up. Implementation typically involves enterprise procurement, IT involvement, and often a dedicated onboarding team. For the current, sourced record of what is and is not known about Harvey's cost, see our Harvey AI pricing guide.
For Am Law 100 firms with technology budgets in the millions, this is a reasonable investment. For everyone else, it is not an option.
Who Harvey serves
Harvey is built for large law firms and enterprise legal departments. The product is designed around the workflows, compliance requirements, and scale needs of firms with hundreds of attorneys.
This is a legitimate market. Large firms need AI tools that integrate with their existing infrastructure, meet stringent security requirements, and handle complex multi-jurisdictional work. Harvey does this.
Harvey's public materials describe research integrations with legal publishers, available where the customer holds the corresponding access. For firms that already hold those research subscriptions, that reach is a real advantage.
Who it leaves out
Over 80% of U.S. law firms have five or fewer attorneys. 45% of legal professionals are solo practitioners. 97% of solo lawyers make their own technology decisions without a procurement committee, a CTO, or a dedicated IT team.
For these lawyers, an enterprise-quoted platform with no published price is not a pricing question. It is a non-starter. The money comes from personal operating cash. It competes against rent, malpractice insurance, and payroll.
Only 41% of solo practitioners even budget for technology. When they do, they compare against ChatGPT at $20 per month, which is already open in another tab.
The gap in the market
The legal AI market has bifurcated. On one end, enterprise platforms like Harvey serve the top 5% of firms. On the other, general-purpose AI tools like ChatGPT serve everyone else but without legal-specific features, citation grounding, or privilege protections.
The gap is in the middle. Solo and small firm lawyers need AI that is purpose-built for legal work but priced for the reality of how small firms operate.
Irys was built for this gap. Pricing is public: Irys Lite is $19.99 per month, Irys One is $299 per month, and Irys Teams is $329 per seat per month, with no per-token or per-query overage on the advertised Irys One plan. No enterprise sales cycle. A 7-day free trial with no credit card required.
The platform includes drafting, research, caselaw search across federal and state court opinions, document analysis, matter management, and a Word Add-In. Over 300 legal teams use it.
What to consider
- If you are at an Am Law 100 firm, Harvey is a serious option worth evaluating. Its publisher integrations and enterprise-grade infrastructure are designed for your scale.
- If you are a solo or small firm lawyer, Harvey's pricing and sales model are not designed for you. Look for platforms with public pricing, free trials, and no procurement requirements.
- Regardless of firm size, ask every vendor the same question: what happens to your client data after the AI processes it? The answer matters more than the feature list.