What Does Lexi Do That Harvey Doesn't?

What does Lexi do that Harvey doesn't?

Lexi runs a firm's front office and back office: client intake, scheduling and callbacks, follow-up emails, deadline tracking and client payments. Harvey is built for the legal work itself: research, drafting, document review and workflows across large document sets. In one sentence, Harvey fits large firms and legal departments building AI into their legal analysis, and Lexi fits small and mid-size firms whose bottleneck is the operational work around each matter.

One disclosure: we build one of these tools. Lexi is the AI paralegal in OpenLaw for Attorneys, which publishes this page. It gets one entry and one honest take, same as Harvey. Note that getlexi.io is a different company that also uses the name Lexi, and this page is not about its product.

This page is for law firm owners, partners and administrators choosing an AI tool. We checked prices and vendor terms in October 2026.

What features does each tool have?

Harvey covers more ground on legal analysis. Lexi does more on the operational work that happens before and after the legal analysis.

Harvey's features

Harvey's platform page lists these parts as of October 2026:

• Agents: run multi-step legal tasks from start to finish.
• Vault: stores documents and runs bulk analysis across them.
• Knowledge: research on legal, regulatory and tax questions, drawing on LexisNexis and other content sources.
• Workflows: prebuilt or custom workflows that firms build for their own practice.
• Contract Intelligence and Horizon Scanning: contract insights and regulatory change tracking.
• Intake: captures and routes internal legal requests, a feature mostly aimed at in-house teams.
• Integrations: Word, Outlook, iManage, SharePoint and Google Drive.

What Lexi does that Harvey doesn't

Lexi works on the client-facing and administrative side of a matter:

• Client intake: collects and organizes new inquiries instead of leaving them in email, forms and phone notes. Our guide to AI-powered client intake explains how this works.
• Scheduling and callbacks: books consults and handles the back-and-forth through Google Calendar.
• Client communication: sends follow-up emails and status updates so prospects and clients don't go quiet.
• Deadlines and case management: tracks dates inside the matter. Our article on deadline tracking for law firms explains why spreadsheets aren't enough.
• Payments: collects client payments as part of the same workflow.
• Routine drafting: drafts engagement letters, discovery responses and filings for attorney review.

Lexi also works with Clio Manage and Thomson Reuters. It doesn't replace a firm's research platform, its drafting tools or its lawyers' judgment. Our post on what Lexi replaces lists what it does take over.

How does Lexi vs Harvey pricing compare?

Neither company publishes a price list as of October 2026. Both quote prices after a sales conversation, so treat any number below as a starting point for negotiation, not a list price.

Harvey charges per seat on annual contracts. In August 2026, MLex reported that Harvey would keep seat-based pricing after a major product overhaul. The figures most often quoted come from third parties, not from Harvey: about $1,200 per seat per month at the base tier, about $2,400 per seat per month with LexisNexis content bundled in, and minimums of 20 to 25 seats on 12-month terms. A Harvey spokesperson has publicly described its pricing as a few hundred dollars per seat per month. Large firms report lower per-seat rates because they buy in volume.

Lexi's pricing isn't published on lexi.law as of October 2026. Firms get a quote after a demo. Before you sign either contract, ask about seat minimums, contract length, onboarding fees and what happens to your data when the contract ends. For a way to weigh the cost against the hours saved, see the ROI of AI for law firms.

Is my data safe with Lexi or Harvey?

Both vendors say they don't train AI models on customer data, and both have SOC 2 Type II reports. Those are necessary checks, but they don't settle the question of privilege on their own.

• Harvey: its security page says it "contractually prohibits model providers from training on customer data" and encrypts data at rest and in transit. It lists SOC 2 Type II, ISO 27001, ISO 27701 and ISO 42001.
• Lexi: the lexi.law security page says client data "is never used to train or fine-tune public AI models". It lists TLS 1.3 encryption in transit, AES-256 encryption at rest, a SOC 2 Type II report, CASA certification and deletion of all firm data within 30 days after the service ends.

The privilege risk is real. In United States v. Heppner, Judge Jed S. Rakoff of the U.S. District Court for the Southern District of New York ruled from the bench on February 10, 2026, and issued a written opinion on February 17, 2026. He held that documents a defendant created with a consumer AI chatbot were protected by neither attorney-client privilege nor the work product doctrine. The tool's terms allowed the provider to disclose user data and train on it, and the defendant had not used it at counsel's direction. The court left open whether an enterprise tool with confidentiality terms and no training on customer data would be treated differently.

ABA Formal Opinion 512 (July 29, 2024) applies the duties of competence, confidentiality, communication, candor, supervision and reasonable fees to generative AI. It also says that boilerplate consent language in an engagement letter isn't enough to cover AI use. For each vendor, read the current terms, confirm the no-training clause is in your contract, and have lawyers direct how the tool is used. Our article on SOC 2 compliance for legal tech lists what else to ask for.

Where does Harvey still win?

Harvey is the stronger choice when the work is legal analysis at scale. Lexi doesn't try to match it there.

• Research and drafting depth: Knowledge, Agents and Vault are built for complex research and bulk document review in diligence, litigation and regulatory work.
• Microsoft and iManage integration: a Word add-in and integrations with Outlook and iManage keep lawyers inside the tools they already use for drafting.
• LexisNexis content: Harvey can draw on LexisNexis sources, which helps it ground answers in real case law.
• Custom workflows at scale: large firms can build and roll out their own workflows and measure how they're used through Command Center.
• Certifications: its ISO 27001, 27701 and 42001 certifications go beyond what most smaller vendors offer.

For how AI is changing the research side of practice, see how AI is transforming legal research.

Can firms use both Lexi and Harvey?

Yes. The two tools cover different parts of a firm, so they overlap very little. A firm can run Lexi for intake, scheduling, follow-ups, deadlines and payments, and give its lawyers Harvey for research and drafting.

The real question is budget. Harvey's reported seat minimums put its smallest deals in six figures a year, which few small firms can justify. A smaller firm that wants both functions might pair Lexi with the research tool it already pays for, such as a Westlaw or Lexis subscription. A large firm that already uses Harvey can add Lexi to handle the operational work Harvey isn't built for. Our guide to automating the full client lifecycle shows how the operations side connects end to end.

Should I choose Harvey or Lexi?

Choose the tool that fixes your biggest bottleneck. Here is a quick way to decide.

Choose Harvey if

• Your firm has 20 or more lawyers who would use AI for research, drafting and document review every day.
• You work in Word and iManage and want AI inside those tools.
• You can sign a seat-based annual enterprise contract.

Choose Lexi if

• New inquiries wait hours or days for a reply, or consults fall through between calls.
• Your staff spend their days on scheduling, follow-ups, reminders and collecting payments.
• You use Clio Manage and want AI to move matters along without adding headcount.

The verdict

Harvey is the better AI for the legal work at large firms. Lexi does the operational work that Harvey doesn't, and it's built for small and mid-size firms. If you're still comparing options, our framework for choosing the right AI tool for your law firm walks through the questions to ask any vendor.