Alternative · AI legal agents
Looking for a Harvey alternative?
Harvey sells legal AI to top law firms: $1,200–$2,000 per seat per month with a 25-seat minimum — about $360K per year floor per third-party reports. Fidelic's legal cohort (pre-launch beta) is built for the supervising attorney, not the 25-seat firm deployment: flat-rate Expert tier, citation-verification built into the workflow.
What Harvey does well
- Real domain depth in law — context-awareness on contracts, case law, and citation handling is a product strength.
- Customer base of top US and UK law firms; "Trusted by AmLaw 100 firms" is meaningful even when characterized accurately.
- The product is built for full-firm deployments and the workflow tooling reflects that — large-team collaboration, document automation, knowledge management.
- Recent funding rounds give Harvey runway to keep iterating against the well-documented hallucination incidents (Mata v. Avianca 2023; Sullivan & Cromwell April 2026).
- Partnerships with frontier model labs give Harvey a credibly current technical foundation.
Where Harvey falls short
- Pricing structure rules out small firms. $1,200–$2,000/seat with 25-seat minimums is roughly $30K–$50K/month floor — about $360K+/year before usage per third-party reports.
- Hallucination incidents in legal AI have been the most catastrophic for buyers (Mata v. Avianca 2023; Sullivan & Cromwell April 2026; $145K+ in Q1 2026 court sanctions; 1,348 cataloged cases in the global hallucination database). Harvey's per-firm constitutional discipline isn't published before purchase.
- Seat-license pricing means cost scales with adoption, not with output. A firm that loves Harvey pays more as more attorneys use it; a flat-rate agent does not.
- Designed for AmLaw 100 deployment patterns, not for a one-to-three attorney shop, an in-house legal lead, or a solo practitioner.
- Constitution and capabilities-and-safeguards aren't published per-agent on the marketing surface; the rules emerge in onboarding.
Who Harvey suits
AmLaw 100 or AmLaw 200 firms with a centralized legal-AI program, the budget for the 25-seat floor, and the timeline for an enterprise deployment.
Who Fidelic suits
A one-to-three attorney shop, a supervising attorney at a mid-market firm, or a legal lead at an in-house team who needs the daily preparation work — research, redline drafts, security questionnaires, audit prep — and wants the agent's constitution and citation-verification rules published before hire.
Side by side
| Dimension | Harvey | Fidelic |
|---|---|---|
| Pricing model | $1,200–$2,000/seat/month, 25-seat minimum (~$360K/year floor per third-party reports) | $2,500/month per Expert agent, flat, no seat minimum (on /pricing) |
| Target customer | AmLaw 100/200 firms with a centralized AI program | Supervising attorney, mid-market or in-house legal lead, one-to-three attorney shop |
| Buyer surface | Demo request → enterprise procurement | Open the catalog → read the agent's published constitution |
| Failure mode discipline | Trust framework at platform; per-deployment rules emerge in onboarding | Citation-verification as a hard-coded gate; constitution names the work the agent won't do (no legal advice, no finalized redlines, no invented controls) |
| Status | Live, established AmLaw customer base | Roster legal cohort (VRAX, PRAX, ETHA, VELA) in pre-launch beta — public Q2 2026 |
| Reasoning surface | Contract analysis, case-law research, knowledge management | Research and memo drafts (VRAX), contract redlining (PRAX), security questionnaires (ETHA), compliance checks (VELA) — each with citation verification |
If you’d been using Harvey for X, try
Honest note
Harvey is the category leader in firm-deployment legal AI and is the right call for an AmLaw 100 with a centralized AI program and the budget for the 25-seat floor. We will lose deals to Harvey when the buyer is a 50+ attorney firm with a firm-wide adoption mandate; we win them when the buyer is a supervising attorney at a smaller firm who can't justify a $360K/year floor and wants a flat-rate Expert agent with citation-verification as a published gate. Today the Roster's legal cohort (VRAX research, PRAX redlining, ETHA security questionnaires, VELA compliance) is in pre-launch beta; the public Roster opens Q2 2026.
Frequently asked
Is Fidelic cheaper than Harvey?
Substantially, yes, but the buyer profile is different. Harvey's seat-license pricing assumes a 25-seat minimum — roughly $30K–$50K/month at $1,200–$2,000/seat per third-party reports, about $360K/year floor before usage. Fidelic's Expert tier is $2,500/month flat per agent. If you're a 25+ seat firm with a Harvey adoption mandate, the per-attorney math may still favor Harvey at scale; if you're a supervising attorney looking for one agent on the team, Fidelic is the order of magnitude cheaper.
When does the Fidelic legal cohort launch?
The Roster's legal-cohort agents — VRAX (research), PRAX (contract redlining), ETHA (security questionnaires), VELA (compliance) — are in pre-launch beta. Public beta is planned for Q2 2026. Sign up at /waitlist to be notified when they're hireable.
How does Fidelic handle the hallucination problem in legal AI?
Citation-verification is a hard-coded gate, not a heuristic. The agent never advises, never finalizes redlines, and never invents controls. Every legal output is a draft for a supervising attorney; the constitution names what the agent will refuse to do. The Sullivan & Cromwell April 2026 incident (40+ AI-fabricated citations in an SDNY bankruptcy filing) and the broader pattern (1,348 cataloged cases in the global hallucination database; $145K+ in Q1 2026 court sanctions) are the failure mode constitutional discipline is designed to prevent. See the Field Guide piece /guide/framework/ai-constitutions-prevent-sullivan-cromwell-failure for the structural argument.
How does Harvey compare to Spellbook for legal AI?
Harvey is the firm-deployment leader (per-seat enterprise pricing). Spellbook is the contract-review-focused alternative. Fidelic's legal cohort (VRAX research, PRAX contract review, ETHA security, VELA compliance) ships Q2 2026 as flat-rate Expert tier. See /alternatives/spellbook and the buyer's field guide at /guide/hiring/hiring-an-ai-agent-2026-buyers-field-guide.
Where to next
- → Browse the Fidelic Roster — role × price × written limits
- → Read the Hard Questions — including the wrapper-around-GPT one
- → Visit Harvey directly — if you want to evaluate them on their own terms
- → See more alternatives