Legal AI Pricing, Rate Limits, and Overages: A 2026 Field Guide

What it does: Document analysis, drafting, and research for large firms and corporate legal departments.

Price: Harvey does not publish pricing. Industry reports place it in the range of roughly $1,000 or more per user per month, with annual contracts and seat minimums. A third-party pricing tracker, Metronome's pricing index, characterizes Harvey as seat-based rather than metered, and lists figures in the range of $12,000 to $16,800 per seat per year for its current bundles, against a roughly $1,000 to $1,200 per seat figure it cites from early 2024. Treat those as third-party estimates, not Harvey's published rates, because Harvey publishes none.

Limits and overages: Because Harvey is sold as unlimited usage within a seat, there is no per-query meter and, by the same logic, no consumption overage. But "unlimited within a seat" is not the same as "no limits." Two things are worth knowing:

• Harvey's own API rate-limit documentation states hard per-minute throttles, applied per organization and reset every minute: 20 requests/minute on the Assistant completion endpoint, 10/minute on Vault endpoints, 60/minute on audit-log and history-export endpoints, and 150/minute on client-matters endpoints. Exceed them and their backend rejects the requests that go over. The page frames this as ensuring "fair usage."
• Harvey's engineering team has written publicly about a "distributed, feature-aware rate limiting system" using a token-bucket algorithm that weighs each request by its prompt token count and scopes quotas per feature, user, and workspace. No numbers are disclosed. The takeaway is simple: server-side throttling exists, it is sophisticated, and you do not get to see its thresholds.

What we could not confirm: Harvey's actual per-seat contract price, any seat minimum, and the numeric thresholds of its internal throttling. All are negotiated and unpublished. (See our Casefleet vs Harvey comparison.)

What it does: Litigation-oriented AI: document review, deposition and transcript work, summaries, research, and drafting.

Price: Thomson Reuters does not publish CoCounsel pricing on a clean public page. Third-party pricing aggregators list monthly tiers in the range of On Demand at roughly $50 to $75 per task, Basic Research around $220 per user per month, CoCounsel Core around $225, Westlaw Precision with CoCounsel around $428, and an All Access tier around $500 per user per month marketed as unlimited (see Costbench and this aggregator listing). A 2026 practitioner review by LawxyAI reports annual seat costs (Core around $4,500/year, climbing to roughly $10,200/year with Westlaw and Practical Law bundled) and notes CoCounsel "does not list a free trial for any of its plans" and is "designed around annual commitments." These are third-party figures; we could not find an official Thomson Reuters rate card to confirm them.

Limits and overages: This is where CoCounsel gets instructive.

• An attorney's first-hand account in Plaintiff Magazine describes a hard cap of 50 results per search, "regardless of how many hits the search turned up." When the author asked support how to raise it, they were told "this was how the system was designed and that the number of results could not be increased." That is a real, undisclosed limit that broke a real use case.
• Thomson Reuters' own help documentation for the Review Documents skill states a per-run cap of 200 files at a time, with per-file size limits of 20MB for TXT, HTM, HTML, and RTF, and 500MB for PDF, DOC, DOCX, EML, MSG, and WPD.

What we could not confirm: Whether the "unlimited" All Access tier carries the same 50-result cap or any monthly query ceiling, and any per-tier overage charge. The vendor pages we found state none. (See our Casefleet vs CoCounsel comparison.)

What it does: The research standard, now with AI-assisted research and the CoCounsel features layered on top in the Precision tier.

Price: Thomson Reuters does not publish Westlaw Precision AI pricing, and a 2026 AI Vortex review notes that opacity is "deliberate." That same review reports CoCounsel access adds roughly $150 to $300 per user per month on top of an existing Westlaw subscription, and that a firm running Westlaw Precision, CoCounsel, and Practical Law together can reach $400 to $700 per user per month. Third-party figures, not vendor-published.

Limits and overages: Westlaw's underlying billing model is the original overage model, and it predates AI by decades. A Thomson Reuters "Pricing Guidelines for Commercial Plans" quick-reference guide, effective January 1, 2017, lays out the structure: your subscription covers searching and the content in your plan, but when you "retrieve or deliver documents that are not included in your subscription plan," you are billed per the rate card. Examples from that guide include a $99.00 cost-recovery charge per search, transactional document charges that run from $25.00 for a state or federal case up to $125.00 for a brief, and per-minute hourly browsing charges. Several public law-library guides describe the same out-of-plan overage model in plainer terms (Franklin County Law Library, Ave Maria School of Law): you get a warning that a document is outside your plan, and if you open it anyway, you pay extra.

The only AI-era throttle we found documented is performance-based, not a hard cap: the AI Vortex review notes Deep Research queries "sometimes take 10+ minutes" during peak hours.

What we could not confirm: Current Westlaw Precision AI pricing, any per-query AI cap, and whether the AI features carry their own out-of-plan charges. The transactional rate card above is the traditional research model and may not map cleanly onto the AI tiers.

What it does: Research, summarization, drafting, and document analysis grounded in the LexisNexis content library.

Price: LexisNexis quotes custom pricing, typically bundled with a Lexis+ subscription. A third-party review lists an Essential tier around $128 per user per month and a Professional tier near $494^[1]; we could not confirm these against an official Lexis price page.

Limits and overages: Lexis is unusually specific about some limits, and this is to their credit.

• LexisNexis' own Protégé product page states users are "limited to 25 Deep Research conversations per month."
• The upload help page states you can upload 10 files per session, 20MB maximum per file, with each document needing between 2,500 and 400,000 characters, in PDF, DOC, DOCX, or TXT.
• The Protégé Vault help page states you can create up to 50 Vaults, each holding up to 500 documents at 20MB per file. Uploads of 10 or fewer documents that are not saved to a Vault are purged at the end of the session.

What we could not confirm: Any overage charge, the numeric "conversation limit" referenced (but not quantified) on the upload page, and the per-tier pricing. No overage or fair-use throttle language appeared on the Lexis pages we reviewed.

What it does: vLex's AI legal assistant (vLex is now part of Clio): cited legal research across vLex's database of case law, statutes, and regulations, 50-state surveys and jurisdiction comparisons, complaint and transcript analysis, contract review and redlines, litigation intelligence (judge, lawyer, and firm profiles), and a drafting feature called Legal Pad.

Price: vLex does not publish standalone Vincent pricing. Its Vincent page is sales-led, with a "Book a Demo" button and a free trial, and vLex states a subscription "will depend on the content you need to access, the number of licenses, length of subscription and additional products" (per its listed pricing statement). Third-party figures vary: vLex research subscriptions are reported to start around $65 per month^[2], and Vincent bundled into Clio Work is reported at around $199 per user per month^[3]. The Fastcase tier of vLex is free through 40+ state bar associations, but that free access excludes Vincent's advanced AI features.

Limits and overages: No usage cap or overage is published. One third-party review notes vLex charges "no per-search fees on most plans," but we found no vendor metering or fair-use terms either way.

What we could not confirm: Vincent's actual per-seat price and any usage limit; both sit behind a demo.

What it does: A collaborative legal AI platform pitched as "the agentic operating system for legal work": bulk document review (Tabular Review), drafting from firm precedents in a Microsoft Word add-in, agentic legal research, regulatory monitors, and a client portal. It targets large international firms and in-house teams, and competes with Harvey.

Price: Legora does not publish pricing. Its site has no pricing page and routes you to a demo, with no public free trial. Multiple competitor writeups converge on list pricing of roughly $3,000 per user per year with a 10-seat minimum, which puts the floor near $30,000 per year^[4], with enterprise deployments reported higher. Those figures come from companies selling Legora alternatives, so treat them as directional rather than confirmed.

Limits and overages: No usage metering or overage terms are published. The one published floor is the 10-seat minimum, and Legora's Acceptable Use Policy bars programmatic extraction of output and requires human review of AI output, but states no quotas. Onboarding, training, and DMS integration are reported as additional costs.

What we could not confirm: Any vendor-published price (every figure is a competitor-sourced estimate) and any usage limit.

What it does: Contract drafting, review, and redlining inside Microsoft Word.

Price: Spellbook does not publish fixed pricing. Its own pricing page states pricing "is structured around the number of team members on your license" and routes you to a demo, with a 7-day free trial. Its usage-guidelines page, despite the name, publishes no numeric limits. Third-party reviews from AI Vortex and Bind, both of which flag their numbers as estimates rather than published prices, describe a tier structure of roughly $99/user/month for a starter plan, around $149 for a professional plan, and around $199 for enterprise.

Limits and overages: This is the clearest example of "unlimited only at the top." Those same third-party reviews report the limits are expressed as AI-assisted drafts per month: roughly 50 drafts/month on the entry tier, 150/month on the professional tier, and unlimited only on enterprise. We want to be precise: these draft counts come from third-party reviews that explicitly call them "point estimates, not published prices," not from Spellbook. Spellbook's own pages state no caps or overages at all.

What we could not confirm: Any of Spellbook's actual prices, draft caps, or overage terms from a Spellbook source. All of it is custom-quoted behind a demo.

What it does: An AI assistant built into Clio's practice-management platform: drafting, summarizing, and answering questions against your firm's own matter data.

Price: Clio Duo (recently rebranded toward "Manage AI") is sold as a per-seat feature of Clio's higher plans rather than a metered product. Clio's pricing page lists the plans; third-party breakdowns place the AI-inclusive tiers in the higher-hundreds per user per year, with the AI assistant bundled into the upper plans.

Limits and overages: Across Clio's own pricing page, help center, and several third-party pricing breakdowns, we found no published per-user AI query limit, no AI-credit allotment, no overage charge, and no fair-use throttle for Clio Duo / Manage AI. Access is bundled by seat. The one hard, published limit we found at Clio is on the developer side: the Clio Platform API is capped at 3 requests per second per application, shared across all of an app's users, with no custom increases; exceed it and their backend rejects the requests that go over. That governs integrations, not the in-app AI assistant.

What we could not confirm: Whether Clio Duo has any internal usage ceiling. The absence of published limits is genuine, but absence of a published limit is not the same as proof there is none.

What it does: An all-in-one assistant aimed at solo and small firms: drafting, research, document and contract analysis, and medical-chronology summaries.

Price: Here is a live example of why you should always check the source. Paxton's own pricing page, as of June 6, 2026, lists an Individual plan at $499 per user per month, or $2,999 per user per year, with Enterprise at custom volume-based pricing. Several 2025-era third-party roundups still cite Paxton in the $49 to $99 per user per month range. We could not reconcile that gap, and we are not going to paper over it: the current vendor page says $499/month. Either Paxton repriced significantly, or the older roundups are stale, or both. Verify it directly before you quote it.

Limits and overages: Paxton's pricing page states no query caps, document limits, or overage charges. Its Terms of Service reserve the right, "in our sole discretion and without limitation, notice, or liability, to remove from the Services or otherwise disable all files and content that are excessive in size or are in any way burdensome to our systems." That is a soft, discretionary fair-use clause rather than a published numeric limit. A help-center note also indicates that when multiple documents are uploaded, Paxton summarizes "the 10 most relevant sections," which is a relevance behavior, not a usage quota.

What we could not confirm: Any numeric usage cap, and the reason for the price discrepancy above.

What it does: Focused AI for discovery drafting: interrogatories, requests for production, requests for admission, and discovery responses. Its Autodoc feature turns a production into a ready-to-serve response document with Bates citations.

Price: Briefpoint does not list a price on its own pricing page or its FAQ; both are demo-gated. The FAQ says pricing is "based on your firm's size and needs," "scales with the number of users," and comes as a custom quote after a demo. Third-party figures exist but conflict: one aggregator review reports a single flat plan at $89/month^[5] (per firm, not per user), while the Clio App Directory lists Briefpoint "Starting at $210 per month." We could not confirm either against Briefpoint's own site, and the independent review site Lawyerist simply lists "Contact Vendor / No Published Pricing."

Limits and overages: Briefpoint's FAQ advertises "unlimited document generation" with "all features included (no add-ons required)." Autodoc is recommended for "productions under roughly 10,000 pages," which is a best-fit guideline, not a billing cap. No overage schedule is published.

What we could not confirm: The actual price (the $89 and $210 figures conflict and neither is on Briefpoint's site), and whether "unlimited" carries any fair-use ceiling. (See our Casefleet vs Briefpoint comparison. Briefpoint is genuinely good at one thing, and is often complementary rather than competing.)

What it does: AI receptionist and client intake: answering calls, booking, and qualifying leads. We include it because intake is where small firms see the clearest return on an AI spend.

Price and overages: Smith.ai is one of the few here with a fully public, structured AI Receptionist pricing page, including its overage logic. The self-service month-to-month tiers run $95, $270, and $800 per month, with stated per-call rates of $1.90, $1.80, and $1.60 respectively, so going over is metered per call. Its annually-billed "Guided" tiers run $500, $1,000, and $2,000 per month and are listed with "None" for overages plus a price lock for the contract term. That is the rare case of a vendor telling you, on the page, exactly what happens when you go over.

What it does: AI-assisted demand packages and case valuation for plaintiff and personal-injury firms.

Price and overages: EvenUp does not publish pricing; it is reportedly sold through annual contracts on a credit- or subscription-based model rather than per seat. We did not find a vendor page stating usage limits or overage terms. As with any credit-based annual contract, the terms worth reading closely before you sign are how credits are counted, whether unused credits roll over or expire, and what renewal looks like. If you have real EvenUp pricing details, send them our way. (See our Casefleet vs EvenUp comparison.)

What it does: An agentic AI platform built specifically for plaintiff and mass-tort firms: case intake, AI-generated medical chronologies, demand letters, case economics, and litigation document review.

Price: Supio does not publish pricing; it is enterprise and sales-led, and its site routes you to a demo. A third-party guide estimates roughly $150 to $300 per user per month across its tiers^[6], and explicitly labels that an estimate rather than a vendor figure. We could not find any published pricing or usage limits for Supio at all.

Limits and overages: None disclosed.

What we could not confirm: Any Supio price or usage limit. (See our Casefleet vs Supio comparison.)

What it does: Butler Labs' AI platform built for plaintiff, personal-injury, and labor and employment firms: intake and case evaluation, medical chronologies, demand letters, and discovery drafting, plus newer agent, auditor, and voice features.

Price: Eve does not publish pricing. Its site offers only "Book a Demo" and "Schedule a call." Multiple independent writeups confirm it: eesel states flatly that Eve "doesn't publish its prices anywhere online," and others estimate roughly $100 to $300 per user per month^[7] on custom enterprise contracts. Every figure here is a third-party estimate, not vendor-confirmed.

Limits and overages: None disclosed. With no published price and no published terms, there is nothing to confirm.

What we could not confirm: Essentially everything quantitative. (See our Casefleet vs Eve Legal comparison.)

What it does: A cloud ediscovery and litigation review platform, with AI features layered in (a Review Assistant, a Writing Assistant, and batch AI actions).

Price: Everlaw's pricing page states that pricing "is based on the amount of data you manage and your usage," with "unlimited user licenses" and uploads "without limits on users or uploads," but it publishes no actual numbers and routes you to "Schedule a Meeting." A third-party AI Vortex estimate puts hosting in the range of roughly $18 to $35 per gigabyte per month with volume discounts above about 500GB, and ITQlick models a first-year cost of $25,000 to $70,000-plus for a 10-user firm. These are third-party figures, not Everlaw's published rates.

Limits and overages: Everlaw is the clearest credit-and-overage model in this whole guide, and, to its credit, the structure is right on the pricing page. Single-document AI actions and the Writing Assistant are "included with your subscription at no extra cost." But batch AI actions "are charged based on usage" through separately purchased Credits, and "unused committed credit purchases will expire at the end of the term." Because the platform is priced per gigabyte of data, your bill scales directly with data volume, and third-party writeups note "overage fees for exceeding storage limits." Administrators can cap "total spend, and spend per matter," which is a genuinely useful control.

What we could not confirm: The actual per-GB rate, the price of a Credit, and the base subscription fee. None are published. (See our Casefleet vs Everlaw comparison.)

What it does: LexisNexis' AI-driven case analysis and management tool, formerly CaseMap Cloud, now folding in the old TextMap and TimeMap.

Price: LexisNexis does not publish pricing. The product page routes you to sales ("contact LexisNexis directly... or calling 1-888-AT-LEXIS"), though a free trial is offered. Third-party estimates for CaseMap run around $100 to $200 per user per month^[8], and a Vendr benchmark across all LexisNexis products shows a median negotiated contract around $18,000 per year.

Limits and overages: No product-specific limits are published. The Vendr benchmark does flag two contract mechanics worth knowing, though they are company-wide rather than CaseMap-specific: "adding users mid-contract typically incurs pro-rated fees... LexisNexis may charge higher rates for unplanned additions," and "some contracts include annual true-up provisions that reconcile actual usage against contracted seats."

What we could not confirm: Any CaseMap-specific price or usage limit. (See our Casefleet vs CaseMap+ AI comparison.)