AI Document Processing: Automate Data Extraction
How AI document processing pulls clean data from invoices, forms, and contracts, where it beats plain OCR, and how to roll it out safely.
Legal and compliance
AI Contract Review Assistant
Upload a contract and get a clear summary, the key clauses pulled out, and every point where it differs from your standard positions. Issues are flagged for your lawyer or contract owner to decide, because this tool does not replace legal advice.
Build time4 to 6 weeks
Fixed priceFrom $3,000
The codeYours, 100%
The problem
Why businesses ask us for this
Contracts arrive faster than anyone can read them properly: NDAs, supplier agreements, customer paper, renewals. Each one goes to a lawyer at hourly rates, or a busy manager skims it and signs. Risky terms slip through, like an auto-renewal, unlimited liability or a one-sided termination clause. Your lawyer ends up spending expensive time on routine NDAs instead of the deals that matter. You want routine checks done consistently, and the real judgment calls left to people.
A software company reviewing customer paper
Example: A mid-sized software company signs dozens of customer contracts a quarter, many on the customer's own paper, and its single in-house lawyer reads every one. With the assistant, sales ops uploads each draft and gets a report within minutes: liability cap missing, payment terms longer than policy, data protection clause acceptable. Routine contracts within the playbook go straight to the commercial lead to sign off, under rules the lawyer agreed. The lawyer only sees the red lines, with the clause and suggested fallback text already marked.
How it works
From the first message to the finished job, step by step
Capture your playbook
We turn your standard positions into a written playbook: preferred clauses, acceptable fallbacks and red lines for things like liability, payment terms, termination and data protection. Your lawyer reviews and signs it off.
Extract the key terms
When a contract is uploaded, the assistant reads the whole document. It pulls out parties, dates, renewal terms, fees, liability caps, governing law and other fields you choose, each linked to the clause text.
Compare against your positions
Each clause is checked against the playbook and marked as acceptable, fallback or red line, with a short reason. Missing clauses, such as no confidentiality term, are flagged too.
A person makes every call
The reviewer sees the report beside the contract, accepts or overrides each flag, and sends real issues to a lawyer. Suggested redlines come from your approved fallback wording, not from the AI's own ideas.
What you get
Features built in from day one
Playbook-based review
Reviews follow your own rules, not a generic idea of a good contract, so flags match how your business actually negotiates.
Clause extraction with sources
Every extracted term links to the exact clause, so reviewers can check the wording in one click instead of trusting a summary.
Plain-English summaries
A one-page summary explains what the contract commits you to, in plain language, for managers who need the gist before a lawyer sees it.
Redlines from approved wording
Where a clause falls outside your position, the tool suggests your pre-approved fallback text as a tracked change in Word, ready for a lawyer to accept or edit.
Key dates and obligations
Renewal deadlines, notice periods and payment milestones go into a register with reminders, so you hear about an auto-renewal before the notice window closes.
Confidential by default
Contracts stay in your own storage with access limited to named people. Private cloud deployments or open-weight models on your servers are options for sensitive work.
Models and data
Which AI model it runs on
Contracts are long and every word can matter, so careful reading beats speed here. Claude models and Gemini 4 Argon both handle long documents well. Gemini 4 Argon's very long context window lets a full agreement, its schedules and your playbook be read together. Simple steps, like finding dates and party names, run on cheaper models. For confidential work we can use a private cloud deployment or an open-weight model on your own servers. The model choice stays swappable, and we re-test your sample contracts whenever we change it.
Price and timeline
From $3,000fixed quote
Typical build: 4 to 6 weeks. Running costs depend on how many contracts you review and their length, and usually stay modest for a small team; we estimate them from your typical volume.
- Written scope and one price before any code
- Working version on a staging link in week one
- Code in your repository from the first commit
- Optional 24-month support plan
Frequently asked questions
Does this replace our lawyer?
No. It is a first-pass review tool, not legal advice, and it does not replace a lawyer. It can miss an unusual clause or misjudge how a term interacts with the rest of the agreement. Use it to sort routine contracts, find issues faster and give your lawyer a clear starting point. Final decisions on legal risk should stay with a qualified lawyer.
How much does an AI contract review assistant cost?
Builds start from $3,000 for one contract type, such as NDAs or supplier agreements, with your playbook, clause extraction, a review screen and Word redlines. Each extra contract type needs its own playbook and testing, so it adds scope. Multi-team setups cost more but stay within our published range for AI projects. You get a fixed quote.
How long does it take?
Expect 4 to 6 weeks. Writing the playbook with your lawyer usually takes the most time, because it has to capture how you really negotiate. We then test it on past contracts where you already know the right answers, and fix what it misses. Only then does it see live deals.
How accurate is it, and how are mistakes caught?
On clear, standard clauses it is usually reliable, but it will sometimes misread a cross-reference or an unusual drafting style. Every flag links to the clause text, a person accepts or overrides each one, and red lines always go to a lawyer. We measure accuracy on your own past contracts before launch and re-check it whenever the playbook or model changes.
Where are contracts stored, and who can see them?
Contracts and reports are stored in your own cloud account or document system, in your chosen region, with access limited to named users and every view logged. Text is sent to the AI provider on paid API or private cloud terms that exclude training on your data. If contracts must never leave your network, the assistant can run on an open-weight model on your own server.
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All AI tools
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Want this built for your business?
Send us a few real examples of the task. You get a written scope, a fixed price and a timeline within two working days.