How Much Does Lexis+ AI Cost Compared to Harvey AI?

Which costs less, Lexis+ AI or Harvey AI?

Lexis+ AI is usually the cheaper of the two per seat, and a firm can buy it with fewer seats. As of October 2026, buyers report paying about $250 to $500 per seat a month for Lexis+ AI. Harvey is reported at about $1,000 to $1,200 per seat a month, usually with a 20-seat, 12-month minimum. Neither company publishes a rate card.

Here is the short verdict for each buyer:

• Lexis+ AI (LexisNexis): fits firms whose main AI job is research grounded in case law, with citations checked against Shepard's.
• Harvey (Harvey): fits larger firms that want one AI platform for drafting, review, diligence and custom workflows, and have the budget and seat count to meet its minimums.
• OpenLaw for Attorneys (Lexi): fits small and midsize firms whose bottleneck is operations, such as intake, documents, deadlines and billing, rather than research.

One disclosure: we build one of these tools. Lexi, the AI paralegal in OpenLaw for Attorneys, is ours. It gets one entry and one honest take, the same as the others. We include it because people comparing Lexis+ AI and Harvey also ask how Lexi compares. It is not the same company as getlexi.io, a separate business that also uses the name Lexi.

This page is for firm owners, partners and administrators who are setting an AI budget. We checked prices and vendor terms in October 2026.

What does each tool actually do?

Lexis+ AI is a research tool first, Harvey is a general legal AI platform, and Lexi handles firm operations. The prices make more sense once you know which job you are paying for.

Lexis+ AI

LexisNexis now sells Lexis+ AI as Lexis+ with Protégé. It answers legal questions, summarizes cases, drafts documents and lets you ask questions about uploaded files. Its advantage is the LexisNexis collection of case law and statutes, with answers checked through Shepard's Citations. For a litigation group that already lives in Lexis, it builds on research you are already paying for.

Harvey

Harvey is a generative AI platform built for law firms and in-house teams. It covers drafting, document review, due diligence and firm-specific workflows. It does not own a case law database. On June 18, 2025, LexisNexis and Harvey announced an alliance that brings Protégé answers grounded in U.S. case law and statutes, checked through Shepard's, into Harvey. The two companies also agreed to build Motion to Dismiss and Motion for Summary Judgment workflows together.

OpenLaw for Attorneys (Lexi)

Lexi automates back-office and case work. It books intake follow-ups, drafts engagement letters and discovery responses, collects documents, prepares filings and processes payments. It connects with Clio Manage, Thomson Reuters, Google Calendar and document management systems. Lexi is not a research database, so it does not replace Lexis+ AI for case law. For the full list of what it does, see what Lexi replaces in a firm's operations stack.

How much does Lexis+ AI cost compared to Harvey AI in 2026?

Every figure below is reported, not published, so treat each number as a starting point for negotiation. Neither LexisNexis nor Harvey lists an AI price on its website. As of October 2026, both quote each firm individually.

• Lexis+ AI: Buyer reports put an all-in seat at about $250 to $500 a month, depending on firm size and content package. The AI is sold as an add-on that sits outside the base Lexis+ research tiers. Published base Lexis+ research starts at about $114 a month for solo and small firms on a three-year term.
• Harvey: The most often reported figure is about $1,200 per seat a month, with deals of 20 to 25 seats on 12-month contracts. That makes the smallest realistic deal roughly $288,000 to $360,000 a year. Some reports cite a smaller-firm tier near $399 per seat and higher rates for bundles that include LexisNexis content.
• Lexi: OpenLaw does not publish Lexi pricing. You get a quote after a demo.

Also budget for implementation, training and renewal increases. Reported Harvey contracts include onboarding fees and annual price increases at renewal, so read the renewal terms before you sign. To check whether the spend pays off, run your own numbers with our guide to the ROI of AI for law firms.

Are Lexis+ AI and Harvey safe for confidential client work?

Both vendors say they do not train models on your inputs or uploads. Harvey also lists independent security certifications on its security page. That puts both in a different category from free consumer chatbots.

That difference matters for privilege. In United States v. Heppner, No. 25 Cr. 503 (S.D.N.Y.), Judge Jed S. Rakoff ruled from the bench on February 10, 2026 and issued a written opinion on February 17, 2026. He held that a defendant's exchanges with the consumer version of Claude were protected by neither attorney-client privilege nor the work product doctrine. One reason was that the tool's privacy policy allowed the provider to collect inputs and use them for training. The court suggested the result might differ if counsel had directed the use of the tool.

ABA Formal Opinion 512 (July 29, 2024) adds the ethics side. Lawyers must understand how a tool handles client information, may need a client's informed consent before entering confidential information into a self-learning tool, and generally cannot bill clients for time spent learning a tool. For a vendor checklist, see what law firms should demand on SOC 2.

Where does each tool still win?

Each product wins on a different job, so the cheapest seat is not always the best value.

• Lexis+ AI wins on case law. Citations come from LexisNexis's own library and are checked through Shepard's. For brief writing and research memos, that grounding is what you pay for, and existing Lexis customers add it to a contract they already have.
• Harvey wins on breadth. One platform covers drafting, review, diligence and custom workflows across practice groups. With the LexisNexis alliance, it can also return answers grounded in case law. For a large firm that wants a single AI layer, that breadth can justify the higher price.
• Lexi wins on operations. Neither Lexis+ AI nor Harvey books intake calls, collects client documents, tracks deadlines or processes payments. For a small firm, the hours lost to administrative work are often a bigger cost than research time.

For a broader buying framework, read how to choose the right AI tool for your law firm.

Can firms use both Harvey and Lexis+ AI?

Yes, and the 2025 alliance was designed for exactly that. Harvey customers can query LexisNexis content and Shepard's-checked answers inside Harvey. The press release did not say whether a separate LexisNexis subscription is required, and reported Harvey pricing includes a higher tier that bundles LexisNexis. Ask both vendors how they bill for the bundle before you pay for overlapping seats.

The usual split puts Harvey in front of transactional and drafting teams and keeps Lexis+ AI for litigators who need citations they can rely on. Firms that also want intake and back-office work handled can add Lexi, because its job overlaps with neither. For a similar breakdown of productivity tools versus operations tools, see Legora vs Lexi.

Should you choose Lexis+ AI, Harvey or Lexi?

Pick the tool that matches your firm's biggest bottleneck, then negotiate.

• Choose Lexis+ AI if: research and citation accuracy drive your work, you already pay for Lexis, or you need fewer than 20 seats.
• Choose Harvey if: you have 20 or more lawyers who will use AI every day, you need drafting and review across practice groups, and you can commit to a six-figure annual contract.
• Choose OpenLaw for Attorneys (Lexi) if: your lawyers lose more hours to intake, documents, deadlines and billing than to research. Pair it with a research tool if you need case law.

The verdict: for most small and midsize firms, Lexis+ AI is the more affordable way to get AI research, and Harvey earns its price only at scale. Lexi covers the operational work that neither of them handles. To see where AI is heading in research, read how AI is transforming legal research.