Legal Operations
AI Legal Operations Assistant
Handles routine legal-ops coordination and matter tracking.
Legal Operations
AI Clause Extraction
Indemnification, termination, liability and other named clauses come out of your contract set, extracted and ready for review.
When someone asks how your contracts handle indemnification or termination, the answer usually means opening dozens of files. AI Clause Extraction pulls the clause types you name out of your contracts and builds a structured library, tagged by type, contract and date. Validation rules check each extraction, and anything uncertain goes to a person for review before it joins the library.
- Named clauses pulled into one structured library
- Each clause tagged by type, contract and date
- Uncertain extractions routed to a person for review
$4,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Clause Extraction is a document build that pulls named clause types, such as indemnification, termination and limitation of liability, out of a defined set of contracts and turns them into structured, reviewable data. Each clause is tagged by type, contract and date, and low-confidence extractions go to a person for review.
Why businesses buy it
Knowing your position across all your contracts is valuable for a negotiation, an acquisition or a change in law, but building a clause library by hand takes weeks of paralegal time and goes stale fast. This build extracts the clauses you name, checks them against validation rules and keeps them in a form your team can search and compare. It is tested on your own contracts before launch, with an accuracy report. The Scope Card fixes the document types and fields in writing, and it gives no legal advice.
Problems this solves
Finding every indemnity clause across signed contracts takes days
The build pulls named clause types, such as indemnification, termination and limitation of liability, out of a defined set of contracts. Each becomes structured data you can filter and review.
Clause knowledge sits in individual lawyers' memories
Each extracted clause is tagged by type, contract and date. That gives the team a searchable library they can use without asking who negotiated what.
Uncertain extractions could slip into the library unchecked
Low-confidence extractions go to a person for review before they are stored. Validation rules check the fields, up to 25 per document type. The library stays trustworthy as it grows.
Answering a client question about liability caps means rereading old deals
If you need to compare positions across past deals, the structured data lets you line clauses up side by side. Results go to the agreed destination system.
A good fit if
You need specific clause types, such as indemnification, termination or limitation of liability, pulled out of a defined set of contracts rather than the whole document summarized.
You already know which clause types matter to your business and can give us real sample contracts that contain them.
You want extracted clauses validated against rules you set, with anything uncertain sent to a named reviewer instead of guessed at.
You want the extracted clauses landing in a structured library or system, not just a longer document to read.
Not the right fit if
You need incoming documents sorted and tagged by type, such as NDA, MSA or lease, before anyone extracts anything from them. See AI Legal Document Classification.
You mainly need renewal and notice dates tracked across a contract portfolio over time, not clause text extracted once. See AI Contract Renewal Monitor.
You want to ask open-ended questions across a whole legal document library rather than extract a fixed set of clause types. See AI Legal Document Search.
Your contract set covers more than three document types or clause sets you need this way. Add a note at checkout and we quote it, or start from our Custom AI enquiry form.
How it works
- Contracts arrive through the intake route you choose, an email inbox or an upload folder, in whatever format your counterparties send, from a signed PDF to a scanned lease.
- Clause Extraction reads each contract in full and locates the clause types you named as important, such as indemnification, termination-for-convenience, limitation of liability or governing law.
- Each clause is pulled into structured fields, up to 25 per document type, with the clause text kept alongside the extracted value so nothing is taken out of context.
- Validation rules you set check for missing clauses, unusual wording or values outside your expected range, and flag anything that fails.
- Anything the extraction isn't confident about goes into a review queue for the person you named, rather than being written as fact into your matter management or document management system.
- We test the build against 100 of your real sample documents before launch and hand you an accuracy report broken down by 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 documents for each document type Clause Extraction should read, redacted if you need to.
- The exact list of clause types and fields to extract, plus the validation rules each one should follow.
- Access to the destination system the extracted clauses should be written into.
- The name of the person who reviews anything the extraction is not confident about.
- 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 clause 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 clause list confirmed.
Weeks 1–2
Clause extraction rules and validation logic built for your document types.
Week 3
Source and destination systems connected and the review queue configured.
Weeks 3–4
100 sample documents processed, accuracy report shared with you.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,400 |
| Express | 15–25 working days | $5,150 |
| Rush | 10–20 working days | $5,950 |
What you receive at handover
- AI Clause Extraction, configured and deployed to your environment
- Extraction rules for up to three document types, up to 25 fields each, with a human review queue
- One intake route and connections to up to two systems, source and destination
- A test report with an accuracy report from 100 sample documents
- An admin guide, the recorded handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Can make clause research across past contracts much quicker
- Helps the team see your usual positions on key clauses
- Makes clause knowledge available beyond the lawyer who negotiated it
- Time to find a clause type across contracts
- Time a manual search for one clause type before launch. Repeat the same task using the extracted data.
- Extractions needing review
- Count items sent to the review queue each month as a share of the total processed.
- Contracts in the clause library
- Track how many contracts have been processed each month after launch.
Before you start: Time a manual search for one clause type across your contracts, and note how many contracts are in scope.
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 Clause Extraction afterwards costs roughly $30–200/month depending on how many contract pages pass through it each month, covering OCR and AI usage plus storage, billed directly in your own accounts.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. 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 such as new clause types, updated validation rules and adjustments to the review queue. It starts after the 30 days of support, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 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 clause-detection tool bills monthly per contract or per seat | A law firm or contracts consultant quotes after a scoping call | Ours is one fixed price, shown on this page before you buy |
| Scope | A clause-detection tool ships a broad, generic clause library | An agency agrees scope during the project | Ours pulls only the clause types you name, written on the Scope Card first |
| Accuracy check | A clause-detection tool rarely tests against your own contracts before go-live | Testing depends on what the agency scoped | Ours runs 100 of your sample documents through it first, with a written accuracy report |
| Delivery | Sign-up is instant, tuning it well is not | Typically several weeks before work even begins | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How much does AI Clause Extraction cost?
The build is a one-time fixed price, shown in the price panel on this page next to each delivery speed, and it is confirmed with your Scope Card. It covers your clause list, the validation rules, the human review queue, connections to your source and destination, and the accuracy report we run on your own contracts before launch. There is no charge from us per contract.
How is AI Clause Extraction different from AI Legal Document Classification?
Document Classification sorts and tags a document as it arrives, filing it as an NDA, MSA or lease before anyone reads it closely. Clause Extraction goes further into already-identified contracts and pulls the actual clause text and values, such as indemnification or termination terms, into structured fields your team can act on directly.
Does AI Clause Extraction give legal advice on what the clauses mean?
No. It extracts and structures the clause text and values you asked for, but it does not interpret them or recommend a course of action. Anything the extraction is not confident about goes to the reviewer you named, and final legal judgment on every clause always stays with a qualified lawyer on your team.
How much does AI Clause Extraction cost to run each month?
Roughly $30 to $200 a month in your own accounts, covering OCR and AI usage plus storage. The figure moves with how many contract pages pass through it, so a one-off backlog costs more in its first month than steady new intake later. We charge nothing per contract, and monthly maintenance is optional if you want changes made for you.
How long does AI Clause Extraction take to launch?
The delivery time is fixed before you buy and shown in the delivery panel on this page, with faster speeds where offered. It starts once your clause list, sample contracts and system access are in. Most of the build goes into tuning extraction against your own real contracts, then you review the accuracy report and use your change rounds before launch.
What access does AI Clause Extraction need to our systems?
It needs admin access and API keys for the source and destination systems you connect, such as your document management platform or matter management system, shared by adding our team as a user or creating a key you control, never by email. It also needs at least 20 real sample documents per document type so extraction is tuned properly.
Can I add a new clause type to AI Clause Extraction later?
Yes. Adding a clause type or adjusting a validation rule within your existing three document types fits inside the monthly change hours that come with maintenance. Adding a fourth document type is a bigger change and gets a written Change Quote first of your request.
Can I cancel AI Clause Extraction maintenance?
Yes. Maintenance bills monthly and can be cancelled for any month going forward, with no long-term contract attached. If you stop, the extraction workflow, the clause library and every record stay in your own accounts and keep running. Future changes, such as new clause types or rules, would then be made by your team using the admin guide, or ordered when you need them.
Stop re-reading contracts to find the clause you need.
Order AI Clause Extraction and it pulls the clause types you name from your contract set on a fixed delivery date. The scope above is what you get, in writing, before you pay.
Works well with
Legal Operations
AI Legal Knowledge Base
Organizes precedents, templates and guidance into a searchable base.