ContractPodAi is now called Leah, and it still prints no price. The figures you will find online disagree with each other, and the most quoted one has nothing behind it. This page shows which numbers have a named source, which ones contradict themselves, and what a realistic first year looks like once implementation and the AI modules are added.
This page is about Leah, formerly ContractPodAi, the contract lifecycle and legal AI platform at leahai.com. Every figure is labeled as published by the vendor or reported by a named third party with a date. None of it is a quote.
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ContractPodAi, rebranded as Leah in January 2026, is quote-only. Third-party reviews put the entry point near $50,000 a year for a Standard deployment, $80,000 to $150,000 for a mid-size team and $150,000 to $250,000 or more for an enterprise, with one-time implementation of $25,000 to $100,000 and Leah AI modules reported at $10,000 to $75,000 a year on top. Unlike Ironclad, SpotDraft or Juro, ContractPodAi has no public purchasing dataset, so every one of those numbers is an estimate. Plan on a first year of about $100,000 for the smallest realistic rollout.
We read contractpodai.com and leahai.com on September 27, 2026. The old domain redirects to the new one, and there is no price, no plan name and no self-serve signup on either. These are the commercial facts the vendor does put in writing.
| Question | What the vendor states |
|---|---|
| Is there a pricing page? | No. contractpodai.com/pricing redirects to leahai.com/pricing, which returns Page Not Found. The site offers Request a Demo and Get a Demo. |
| What is the product called now? | Leah. The banner reads "ContractPodAi is now Leah." Leah had been the name of the company's AI assistant for years before it became the company name. |
| What does it do? | Described as an agentic AI platform that unifies contract lifecycle management, legal transformation and source-to-pay automation, for legal, procurement and finance teams. |
| Who is it for? | Fortune 500 and large enterprises in regulated industries. The home page cites a customer base with over $5 trillion in combined enterprise value and over $125 billion in commercial value managed. |
| Security posture | SOC 2 Type II. Customer contract data is never used to train models, encryption in transit and at rest, role-based access and audit trails, and single-tenant deployment available on request. |
| Is there a free trial? | No self-serve trial appears anywhere on the site. Every path leads to a demo request. |
| Analyst recognition | The vendor lists five Gartner Visionary placements. Its own earlier materials also cite a Strong Performer placement in the Forrester Wave for CLM. |
Notice what the rebrand did to the pitch. ContractPodAi used to sell contract management to legal departments. Leah is sold as a platform that also runs procurement and finance workflows. If you are a legal team shopping for contract review, you are now being quoted for a much broader product.
These are the figures in circulation as of September 27, 2026. The confidence column is our judgment of how much stands behind each one. For ContractPodAi, nothing reaches the level of a signed-contract dataset, which is what we could quote for Ironclad.
| Reported figure | What it covers | Source and date | Confidence |
|---|---|---|---|
| About $50,000 a year to start | Standard tier entry point. Tiers named Standard, Premium and Configured Platform | ToolsForHumans review, last reviewed March 24, 2026; the same floor appears in checkthat.ai and in search summaries | Medium |
| $50,000 to $80,000 a year | Standard or Starter, 5 to 15 users, 100 to 500 contracts a year | checkthat.ai pricing page, 2026 | Medium |
| $80,000 to $150,000 a year | Professional or Premium, 15 to 40 users, 500 to 2,000 contracts | checkthat.ai, 2026 | Medium |
| $150,000 to $250,000+ a year | Enterprise or Configured Platform, 40+ users; total cost with services quoted at $150,000 to $500,000+ | checkthat.ai, 2026 | Medium |
| $25,000 to $100,000+ implementation | One time, plus $15,000 to $40,000 training and onboarding; described as 40 to 150 percent of the annual fee, five to six months at enterprise scale | checkthat.ai, 2026 | Medium |
| $10,000 to $75,000+ a year for AI modules | Leah AI capabilities sold on top of the base subscription | checkthat.ai, 2026, labeled by that source as a third-party estimate; Bind Legal, March 2, 2026, confirms the modules are sold separately but gives no figure | Medium |
| $124,000 average contract value | Attributed to "Vendr transaction data," with proposed prices up to $372,000 | checkthat.ai, 2026. Vendr's own public ContractPodAi page shows no average, range or purchase count (checked September 27, 2026), and Bind Legal reported the same absence in March | Low, unverifiable |
| $70 to $100 per user per month | Derived per-seat cost for 5 to 15 users, falling to $40 to $70 at 40+ users | checkthat.ai, 2026 | Low, contradicts its own floor |
| No figure at all | A CLM vendor removed every ContractPodAi range from its own guide because none could be sourced | Bind Legal, March 2, 2026 | High, as a statement of what is known |
The first is the $124,000 average contract value. It is the most specific figure in circulation and it is credited to Vendr, the procurement marketplace that publishes medians from contracts its clients actually signed. For Ironclad, Juro, SpotDraft and LinkSquares, Vendr's public pages do show those medians. For ContractPodAi they do not. We opened the page on September 27, 2026 and found a product description and a quote upload form, with no average, no range and no purchase count. Bind Legal found the same thing in March and deleted its own estimates as a result. The figure may come from a private Vendr report, but nobody can check it, so it should not anchor your budget.
The second is the per-user ladder. The same source that gives a $50,000 to $80,000 floor for a team of 5 to 15 users also says the per-user cost for that team is $70 to $100 a month. Multiply the top of that range out: 15 users at $100 a month is $18,000 a year, well under half the floor printed a few lines above it. Both cannot be true. What the contradiction tells you is that the seat price was back-solved or borrowed, and that the real driver of a ContractPodAi quote is something other than headcount: contract volume, the modules switched on, and how much configuration the deployment needs.
That matches what the vendor says about itself. Leah is sold as a configured platform across legal, procurement and finance, not as seats of a review tool. A seat count is a poor proxy for that kind of deal.
The one figure several unrelated sources agree on is a floor near $50,000 a year. Build the budget request from that plus implementation, and treat any per-user figure as noise.
Ask whether the price moves with users, contracts, workflows or modules, and get the answer in writing. A good sales year should not surprise you at renewal.
Ironclad's tracked average is $40,109. If a ContractPodAi quote for a similar scope comes in at double that, you have a concrete number to push back with.
The subscription is the smaller half of a first-year CLM bill. This table adds the reported implementation, training and AI module ranges to each tier. Low column uses the bottom of every range, high column the top.
| Line item | Standard, 5 to 15 users | Premium, 15 to 40 users | Configured Platform, 40+ users |
|---|---|---|---|
| Subscription, per year | $50,000 to $80,000 | $80,000 to $150,000 | $150,000 to $250,000+ |
| Implementation, one time | $25,000 and up | $25,000 to $100,000 | $100,000+ |
| Training and onboarding | $15,000 | $15,000 to $40,000 | $40,000 |
| AI modules, per year | $10,000 and up | $10,000 to $75,000 | $75,000+ |
| Realistic first year | About $100,000 | $130,000 to $365,000 | $365,000+ |
| LegalSoul, for comparison | $1,188 a year on Solo ($99 a month, 100 reviews) | $3,588 a year on Professional ($299 a month, 500 reviews) | $20,988 a year on Elite, unmetered |
The LegalSoul row is not a like-for-like comparison, and we are putting it there on purpose. It shows how much of a ContractPodAi quote pays for things other than reading contracts: approval routing, a repository, procurement and finance workflows, integrations, and a configured deployment. If your organization needs those, they are worth paying for. If what you actually need is each agreement read for risky clauses and missing terms, the gap between the two rows is the price of capabilities you will not use.
Buyers looking at ContractPodAi usually have Ironclad, Icertis or SpotDraft on the same list, plus one AI review tool. The column that sorts the list fastest is whether anyone outside the vendor can tell you what it costs.
| Tool | Published price | Best public cost figure | Built for |
|---|---|---|---|
| Leah (ContractPodAi) | None | Reported floor near $50,000 a year; no public purchasing data | Enterprise legal, procurement and finance on one configured platform |
| Ironclad | None | $40,109 average across 213 tracked deals (Vendr, February 2026) | Contract workflow for companies of 50 employees and up |
| SpotDraft | None | Median $25,278 (Vendr, cited by Bind Legal, March 2026) | In-house teams at growth-stage companies |
| Juro | None | Median $31,164 (Vendr, cited by Bind Legal, March 2026) | Browser-native contract workflow for commercial teams |
| LegalSoul | Yes, on the site | $99 a month for 100 reviews, $299 for 500, no seat minimum | Reading one contract, brief, lease or exhibit for issues, risky clauses and missing terms, with page cites |
We are the narrowest product in that table. We do not route contracts for approval, hold a repository, run procurement, or offer a SOC 2 report or SAML single sign-on. If any of those is a hard requirement, Leah or Ironclad is the better answer and we will not pretend otherwise. Our Ironclad pricing breakdown shows what a vendor with real purchasing data costs, and the guide to CLM competitors for small legal teams sorts the whole field by which job each tool replaces.
The right-hand column is the job LegalSoul is built for. Put one agreement through the tool at the top of this page and within a minute you will see whether a reading tool covers your problem, which is a lot cheaper to learn than a demo cycle. The AI contract review software page shows the full output from a single document.
When there is no public benchmark, your leverage comes from controlling the scope before the number is built. These cover the places the reported ranges say the cost actually moves.
Is the subscription metered on users, contracts, workflows or modules, and what happens when that meter grows mid-term?
Which Leah AI capabilities are in the base price, and what does each module outside it cost per year?
Can legal buy only the contract modules, without the procurement and finance workflows?
Is implementation a fixed fee or time and materials, who performs it, and what is the dated plan?
What does training cost, and is it per session, per user or included?
What is the renewal escalator, and will you cap it in writing at 3 to 5 percent?
Is single-tenant hosting priced separately, and what does it add?
Can we run a paid pilot on our own agreements, and does its cost credit against year one?
A six-figure CLM decision deserves one cheap experiment first. Pick the last agreement that caused a problem, the vendor paper with the one-sided indemnity or the lease with the renewal clause nobody caught, and upload it to the tool at the top of this page. You get the issues, the risky clauses, the missing terms and page cites back in under a minute.
If that output would have prevented the problem, you have a reading problem, and a published plan at $99 a month for 100 reviews solves it today with no seat minimum and no sales process. If the problem was that the agreement sat in someone's inbox for two weeks waiting on procurement, you have a workflow problem, and that is exactly what Leah is built for. Then the demo is worth your time, and you walk into it knowing which modules to price. Either way you will be able to answer the first question every sales team asks: what are you actually trying to fix. See AI legal software pricing for every plan.
ContractPodAi, now sold as Leah, publishes no price. Third-party reviews put the entry point near $50,000 a year for a Standard tier, $80,000 to $150,000 for a mid-size deployment and $150,000 to $250,000 or more at enterprise scale. Implementation and AI modules are quoted on top, and none of these figures comes from a rate card or a public dataset of signed contracts.
Yes. ContractPodAi rebranded as Leah in January 2026, taking the name of its long-running AI assistant. contractpodai.com now redirects to leahai.com, which describes the product as an agentic AI platform for contracting, legal, procurement and finance. G2 and Capterra list it as Leah, formerly ContractPodAi, so older reviews still apply to the same product.
Leah AI has no public price. Its capabilities, such as extraction, risk analysis, contract intelligence, custom models and obligation management, are commonly reported as modules sold on top of the base platform. One 2026 estimate puts those add-ons at $10,000 to $75,000 or more a year. Ask for each module as its own line so you can drop the ones you will not use.
No self-serve trial is offered. Checked on September 27, 2026, leahai.com offers Request a Demo and Get a Demo, and its pricing path returns a 404 page. Expect a discovery call, a demo and a scoped proposal before you see any number, and ask for a paid pilot on your own agreements if you need proof before signing.
Reported implementation runs $25,000 to $100,000 or more once, with training and onboarding of $15,000 to $40,000 on top. One 2026 analysis puts implementation at 40 to 150 percent of the annual subscription, with enterprise timelines of five to six months. Insist on a fixed fee or a written cap with a dated plan.
Yes. Leah states that it is SOC 2 Type II certified, that customer contract data is never used to train models, and that data is encrypted in transit and at rest. It also offers single-tenant deployment for customers with strict data isolation requirements, which matters in banking, pharma and insurance.
For enterprise contract lifecycle management the usual shortlist is Ironclad, Icertis, SpotDraft, Juro and Agiloft. For AI contract analysis it is Luminance and Kira. For a small legal team that only needs agreements read for risk at a published price, a document review tool such as LegalSoul from $99 a month is the closer fit, with no implementation project.
Rarely. Leah is built and priced for enterprise legal, procurement and finance teams, and a reported entry point near $50,000 a year before implementation assumes high contract volume and someone to run the platform. A team of two to twenty that mainly needs agreements read for risky terms gets that job done with a published review plan from $99 a month.
Upload one contract, lease or brief and get the issues, risky clauses and page cites in under a minute. Plans are published from $99 a month, with no seat minimum and no sales call.
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