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AI Contract Intelligence
Key terms, obligations, renewal dates and risk clauses come out of your contract library, structured and ready to act on.
Most businesses learn about an auto-renewal or a notice deadline after it has passed, because the terms sit inside contracts nobody has time to reread. AI Contract Intelligence reads your contract library and pulls out key terms, obligations, renewal dates and the risk clauses you care about. Unclear clauses go to a person to check. Decisions about each contract stay with you.
- Renewal dates and notice periods pulled into one structured view
- Risk clauses you choose flagged apart from routine terms
- Ambiguous wording sent to a reviewer, never guessed
$6,900
20–30 working days
Optional maintenance $345/mo
What it is
AI Contract Intelligence reads your contract library and extracts key terms, obligations, renewal dates and risk clauses into structured data, so nothing important is buried in a PDF nobody re-reads until it's due. Clauses it is unsure about go to a named reviewer before they count as reliable data.
Why businesses buy it
Contracts hold commitments that cost money when they are missed: an auto-renewal you meant to cancel, a price review you forgot to trigger, an obligation nobody tracked. Reading the whole library by hand is rarely anyone's priority. After this build, the terms that matter come out as structured data you can sort, filter and act on, with risk clauses marked for review. Your team stops relying on memory. The Scope Card fixes the contract types, term list and connected systems in writing before you order, so the scope is clear from the start.
Problems this solves
Renewal dates sit inside PDFs nobody rereads until too late
Contract Intelligence reads your contracts and extracts renewal dates, key terms and obligations into structured data. Dates become something you can sort, filter and track ahead of each deadline.
Nobody has a clear list of what each contract commits you to
Obligations and key terms come out of each contract as fields. Up to three contract types are set up, with up to twenty-five fields each.
Risky clauses are only noticed when a dispute starts
Risk clauses you define are flagged during extraction. Clauses the system is unsure about go to a named reviewer before they count as reliable data.
A good fit if
You hold a library of contracts, such as vendor agreements, leases or customer terms, and tracking their renewal dates and obligations is done by memory or spreadsheet.
You want risk clauses, such as auto-renewals, indemnities or termination terms, flagged automatically rather than found by re-reading each contract.
You're comfortable defining the specific terms and clause types that matter to your business, rather than a generic legal summary.
You want a person reviewing anything the extraction is uncertain about, not a fully automated legal opinion.
Not the right fit if
You need general-purpose extraction across mixed document types, not contracts specifically. See AI Document Extraction, the broader build this one specializes.
You need two contract versions compared against each other, such as an original and a redline, not a whole library analyzed. See AI Document Comparison.
Your contracts haven't been captured anywhere consistent yet. See AI Document Intake, the stage that captures and files documents before Contract Intelligence can analyze them.
You need contracts routed for a formal sign-off, not just their terms extracted. See AI Document Approval, for the decision-workflow side.
You need a readable summary of one contract at a time, on request. See AI Contract Summarization.
How it works
- A contract arrives through the intake route you connected, whatever its length or format, from a one-page order form to a lengthy master agreement.
- Contract Intelligence reads the full text, not just the signature page, to locate the clauses and terms you defined as important.
- Key terms are extracted as structured data: parties, values, renewal and termination dates, notice periods and the obligations each side holds.
- Risk clauses you flagged as sensitive, such as auto-renewal, exclusivity or indemnity terms, are pulled out and marked separately from routine terms.
- Anything the model isn't confident about, such as an ambiguous clause or unusual wording, is held in a review queue for the person you named.
- We test it against 100 real sample contracts before launch and hand you an accuracy report by term and clause type.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Your business information (company basics, hours and brand voice), shared during intake, or confirmation we can reuse what you gave us on an earlier order.
- At least 20 real sample contracts for each contract type Contract Intelligence should read, redacted if you need to.
- The exact list of terms, dates and clause types to extract, including which risk clauses matter most to your business.
- Access to the destination system extracted contract data should be written into.
- The name of the person who reviews low-confidence extractions and unclear clauses.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One decision-maker who can approve the term list and sign off at launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, sample contracts and term list confirmed.
Weeks 1–2
Clause and term extraction built for your contract types.
Week 3
Source and destination systems connected and review queue configured.
Weeks 3–4
100 sample contracts processed, accuracy report shared with you.
Week 4
Your review and two rounds of changes.
Go-live
Live, handover report sent, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $6,900 |
| Express | 15–25 working days | $8,100 |
| Rush | 10–20 working days | $9,300 |
What you receive at handover
- AI Contract Intelligence configured on one intake route and connected to your destination system
- Field set-up for up to three contract types, up to 25 fields each, covering terms, obligations, renewal dates and risk clauses
- Validation rules and a review queue for uncertain clauses
- A test report from 100 sample documents, with an accuracy report
- An admin guide and a written handover report
- 30 days of post-launch support
Expected benefits and how to measure them
- Can help you act on renewals before notice periods close.
- Makes it easier to see what you have agreed to across many contracts.
- Helps flag risky terms before they become a problem.
- Renewals handled before the notice deadline
- Track renewals each quarter and note whether action came before the deadline, before and after launch.
- Time to answer a contract question
- Time typical questions, such as an end date or a notice term, before and after launch.
- Clauses sent to review
- Count review-queue clauses per batch processed to see where wording varies most.
Before you start: Count your active contracts and note how renewals are tracked today. List any renewals missed or rushed in the past year.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running Contract Intelligence costs roughly $30 to $200 a month in your own accounts, covering OCR and AI usage plus storage, and it moves with how many contract pages pass through it each month.
AI usage during the build and testing is billed to your own accounts too, so every provider relationship stays yours, not ours. This is document analysis support, not legal advice, and a person reviews anything uncertain.
Ask about running costsCustom requirements
If you need more than three contract types, more than 25 tracked terms per type, or a second intake route than the Scope Card lists, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, model and platform updates, a monthly health report and monthly hours for changes, enough to add a tracked term or a new risk clause type. It starts after the 30 days of support end, bills monthly, and can be cancelled any month.
$345/mo (5% of the build price a month, includes 3 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A contract-analytics SaaS charges per seat or per contract stored every month | A custom agency quotes after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Scope | A contract-analytics SaaS is a general tool you configure clause detection in yourself | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Risk clauses | A contract-analytics SaaS flags a generic clause library you may not need | An agency build depends on what was scoped | Ours flags the specific clauses you told us matter |
| Delivery | A contract-analytics SaaS is instant to sign up but slow to tune well | An agency usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How much does AI Contract Intelligence cost?
The fixed price for each delivery speed is shown in the price and delivery panel on this page, so you see it before you order. It covers everything on the Scope Card: a term list of up to 25 fields for up to three contract types, risk clause flags, the connection to your two systems and the accuracy report before launch.
How is AI Contract Intelligence different from AI Document Extraction?
AI Document Extraction is a general-purpose build for any document type you define. Contract Intelligence specializes in contracts: key terms, obligations, renewal dates and risk clauses, tuned for how contract language is structured rather than a generic field list applied to any document. That is why the two carry different prices in their own panels.
Can AI Contract Intelligence flag auto-renewal and other risk clauses automatically?
Yes. You tell us during setup which clause types count as risk for your business, such as auto-renewal, exclusivity or indemnity terms, and those are extracted and marked separately from routine terms. This is document analysis support, not legal advice, so a person still reviews anything flagged before acting on it.
How much does AI Contract Intelligence cost to run each month?
Running costs are paid in your own accounts, not to us. Expect roughly $30 to $200 a month for OCR and AI usage plus storage, and the figure scales with how many contract pages pass through it. The first pass over an existing library costs the most, then new contracts add little. Monthly maintenance is optional.
Is our contract content confidential with AI Contract Intelligence?
Yes. Every credential and connected account is shared by adding our team as a user or creating a key you control during setup, never by email, and contracts move only between the systems you connected. Sensitive terms can be excluded from the extraction list, and sample contracts can be redacted before we ever see them ourselves, with nothing used to train a shared model.
How is AI Contract Intelligence different from AI Contract Summarization?
Contract Intelligence works across your whole contract library. It extracts terms, obligations and renewal dates into structured data you can track over time. AI Contract Summarization handles one contract at a time, on request, turning it into a readable summary of key terms. Choose Summarization for single deals and Contract Intelligence for managing a library.
What happens when AI Contract Intelligence isn't confident about a clause?
It's held in a review queue instead of guessing at an interpretation. Ambiguous wording, unusual clause structures or poor scan quality are the most common causes, and the person you named checks these before the extracted term is treated as reliable data in your system of record going forward.
Can I track a new contract term later?
Yes. Adding a tracked term or a new risk clause type within your existing contract types fits inside the monthly change hours in maintenance. A new contract type entirely is a bigger change and gets a written Change Quote first.
Guides on this topic
All guides Stop finding contract obligations after they're already missed.
Order AI Contract Intelligence and it extracts key terms, dates and risk clauses from your contracts on a fixed delivery date. The scope above is what you get, in writing, before you pay.
Works well with
