Which Is Better, Lexis+ AI or Harvey AI for Lawyers?

Which is better, Lexis+ AI or Harvey AI?

Lexis+ AI is the better choice if your firm mainly needs legal research it can cite. Harvey is the better choice if you are a large firm that wants AI across drafting, document review and firm knowledge, and you can afford an enterprise contract.

• Lexis+ AI (made by LexisNexis): fits research-heavy and litigation firms that want AI answers drawn from LexisNexis case law and checked with Shepard's Citations. LexisNexis now sells it as Lexis+ with Protégé.
• Harvey (made by Harvey, a venture-backed legal AI company): fits large firms and legal departments building AI workflows across the whole firm. Since a June 2025 alliance with LexisNexis, Harvey users can also reach LexisNexis content from inside Harvey.
• OpenLaw for Attorneys (Lexi): fits small and midsize firms where the bottleneck is operations (intake, client follow-up, documents 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, same as the rest. It is not the product at getlexi.io, which belongs to a different company with a similar name.

This page is for firm owners, partners and administrators deciding where to spend an AI budget. We checked prices and vendor pages in October 2026. Neither LexisNexis nor Harvey publishes a price for its AI product, so every figure below is reported or estimated, not a quote.

What does each tool actually do?

Lexis+ with Protégé is a research platform with AI built in. Harvey is an AI workspace that a firm shapes around its own work. That difference matters more than any feature list.

Lexis+ with Protégé

LexisNexis released the latest version of Lexis+ with Protégé in the US on May 7, 2026. Its features include:

• Shepard's Verify: finds the citations in AI-written and attorney-written drafts and checks them against LexisNexis sources.
• Agentic drafting: agents that draft motions, briefs, contracts and deal documents from LexisNexis content, firm templates and matter files.
• Protégé Vault: analyzes up to 100,000 documents per workspace, including PDFs, spreadsheets, audio and video, with answers linked to the source.
• Office output: produces Word, Excel, PowerPoint and PDF files.
• Bring your own key: lets enterprise customers hold their own encryption keys.

Harvey

Harvey's platform covers agents, Vault for large document sets, Knowledge, Spaces for collaboration, and contract and intake tools. Its strength is breadth. Firms use it to draft, review and summarize across practice areas, and to build repeatable workflows of their own.

On research, Harvey closed its biggest gap through the LexisNexis alliance announced June 18, 2025. Harvey users can ask LexisNexis Protégé questions answered from US case law and statutes and checked with Shepard's Citations. The two companies also built shared Motion to Dismiss and Motion for Summary Judgment workflows. The announcements do not say whether a firm needs its own LexisNexis subscription to use this, so ask both vendors before you sign.

For a wider view of research tools, see how AI is transforming legal research.

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

Neither vendor publishes an AI price, as of October 2026. Reported Harvey seats run about $1,000 to $2,000 a month at mid-market firms, with seat minimums. Lexis+ with Protégé is listed as pricing on request, and reported total LexisNexis contracts are far smaller.

• Harvey: a July 2026 roundup of industry reporting put mid-market seats at about $1,000 to $2,000 per user per month. It reported minimums of about 25 to 50 seats on 12-month terms. Am Law 100 firms with large volume reportedly pay much less per seat. Harvey says none of these figures, and there is no self-serve plan.
• Lexis+ with Protégé: the LexisNexis small-firm store lists it as pricing on request. Plain Lexis+ without AI for one attorney is listed from $152 a month (Essential, 1-year term) to $432 a month (Professional, 1-year term). The Vendr median for a whole LexisNexis contract was $18,450 a year across 94 purchases, as of February 2026.
• OpenLaw for Attorneys (Lexi): pricing is not published on lexi.law as of October 2026. It is quoted after a demo.

The gap is about scale. At about 25 seats and $1,200 a month, the smallest realistic Harvey deal costs hundreds of thousands of dollars a year. A small firm's Lexis contract usually costs in the five figures. To compare cost against time saved, see the ROI of AI for law firms.

Is Harvey or Lexis+ AI safe for confidential legal work?

Both vendors say they do not train models on customer data, and both sell enterprise terms. That matters for privilege. Still, ethics rules make the lawyer, not the vendor, responsible for checking.

• Harvey: its security page lists SOC 2 Type II, ISO 27001, ISO 27701 and ISO 42001. It says its Platform Agreement contractually bars using inputs, outputs or uploaded documents to train models, and that it requires zero data retention from its model providers.
• LexisNexis: says it never uses customer data to train AI models or to improve AI for other customers. The 2026 release adds bring-your-own-key encryption and Workrooms with role-based permissions and audit trails.
• OpenLaw for Attorneys (Lexi): SOC 2 Type II, encryption in transit and at rest, and each firm's workflows and data kept private to that firm.

Why the contract terms matter 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 in a written opinion on February 17, 2026. He held that a defendant's chats with a consumer AI tool were protected by neither attorney-client privilege nor the work product doctrine. A key reason was a privacy policy that allowed the vendor to keep, disclose and train on user data. Commentators read the decision as favoring enterprise tools that have no-training clauses, confidentiality terms and a lawyer directing their use.

ABA Formal Opinion 512 (July 29, 2024) covers the same ground. Lawyers must understand how a tool handles client information. They need informed client consent before putting confidential information into a self-learning tool, and boilerplate in an engagement letter is not enough. They also must charge reasonable fees when AI saves time. Our guide to what law firms should demand on SOC 2 lists the documents to request.

Where does Lexis+ AI still win, and where does Harvey win?

Lexis wins on authority and price of entry. Harvey wins on breadth and customization.

Where Lexis+ AI wins

• Citable research: answers come from a curated case law database, and Shepard's Verify checks every citation in a draft.
• Litigation work: for brief writing and motion practice, a citator built into the drafting tool is the feature that prevents sanctions.
• Small-firm access: LexisNexis sells to solo and small firms, and many firms already have a Lexis contract they can expand.

Where Harvey wins

• Breadth: one workspace for drafting, review, diligence and knowledge across practice areas, not just research.
• Custom workflows: firms build and share their own agents and repeatable workflows.
• Enterprise controls: ethical walls, data residency options and a long list of certifications that large-firm procurement teams look for.

Can Harvey AI hallucinate case citations?

Yes. Any generative AI tool can, including ones built on legal databases. A 2024 Stanford RegLab and HAI study found that Lexis+ AI gave incorrect information more than 17% of the time on its benchmark questions. That was still well below general chatbots. Whatever you buy, a lawyer must read and check every authority before filing.

Can firms use both Harvey and Lexis+ AI?

Yes, and the vendors built for it. The June 2025 alliance put LexisNexis Protégé, US case law and Shepard's Citations inside Harvey, so a Harvey firm can run Lexis-grounded research without switching tools.

Paying for both makes sense for large firms. Harvey becomes the drafting and review workspace and Lexis becomes the authority layer. For a 10-lawyer firm, two enterprise AI contracts rarely pay off. Pick the one that matches your biggest time sink, and fill the operations gap separately. Our guide to choosing legal AI walks through that decision.

Should a firm choose Lexis+ AI, Harvey or Lexi?

Choose based on where your hours go: research, drafting at scale or running the firm.

• Choose Lexis+ AI if: your lawyers spend their days on research and briefs, you need Shepard's-checked citations, or you are a small firm that already pays for Lexis.
• Choose Harvey if: you have 25 or more lawyers, a budget for an enterprise contract, and a plan to build AI workflows across practice groups.
• Choose OpenLaw for Attorneys (Lexi) if: you are a small or midsize firm losing time to intake calls, client follow-ups, engagement letters, document collection and billing. Lexi does not replace a citator. Firms that use it usually keep their research subscription. See what Lexi replaces for the operations stack it consolidates, and Legora vs Lexi for a similar comparison.

Verdict: for most lawyers who want better research, Lexis+ with Protégé is the stronger and cheaper start. For large firms building AI into all their work, Harvey is the broader platform, and it can include Lexis content. Neither is built to run a small firm's back office.