Contracted AI model
Reads and summarizes documents, under terms that prevent your data being used for training.
AI automation
AI contract review: how it works and how to use it safely
With AI contract review, a document is read in minutes and turned into a summary of the parties, purpose, dates, amounts, penalties, termination terms and points of concern, always citing the clause. Whoever reviews it goes straight to what matters instead of reading 40 pages from scratch. The decision and the responsibility stay with the professional, who checks the summary against the original.
How it's usually done by hand
In law firms, real estate agencies, companies bidding for public contracts and admin teams, contracts are read in full, sometimes several times, to find dates, penalties and conditions. With similar contracts, much of the time goes into finding what changed from the template.
At volume, careful reading becomes a bottleneck. That's where the risks appear: a notice period that passed, a penalty nobody noticed, an automatic renewal that was forgotten.
Example: if each contract takes about 45 minutes to read and organize, and the team reviews 20 a month, that's 15 hours. With an initial summary ready, reading becomes checking, and the time drops considerably.
How the automation works, step by step
- 1
Contract received
The document arrives by email, upload or shared folder, as a PDF or Word file.
- 2
Protecting data
Where needed, party names and identifying details are replaced before analysis.
- 3
Structured extraction
AI extracts parties, purpose, dates, amounts, penalties, termination, governing law and obligations, always with the clause number.
- 4
Comparison with your template
If you have a standard contract, AI points out what changed from it.
- 5
Review and tracking
The professional checks the flagged points in the original, and key dates become automatic reminders.
What goes into the build
Document storage
The folder or system where contracts live, with access controls.
Automation tool
Connects contract arrival to analysis, your contract register and date reminders.
Contract register
Records term, value and renewal dates for each contract.
To start today, without hiring anyone
- Define the fields you always look for in a contract (term, penalties, price increases, termination).
- Before using any AI, replace the parties' names and details with PARTY A and PARTY B.
- Use the prompt below and always ask for the clause number in every answer.
- Check every flagged point against the original text.
- Log renewal and notice dates in a spreadsheet with reminders.
A prompt to get ahead today
Prompt: contract summary with points of concern
Use it with the contract already stripped of personal details.
You are a legal assistant in [jurisdiction]. I'll paste a [type] contract where the parties appear as PARTY A and PARTY B. I represent [PARTY A / PARTY B]. Provide: 1) The purpose of the contract in 3 lines. 2) A table: each party's obligations, dates, amounts and price reviews, penalties, termination, renewal, governing law. 3) The 5 points that most deserve attention for the party I represent, with reasons. 4) Ambiguous clauses or information that seems to be missing. Cite the clause number for every item. Don't conclude on legal validity. [PASTE THE CONTRACT]
What usually goes wrong
- Pasting contracts with personal data into public AI tools. Use contracted tools or anonymize first.
- Accepting the summary without checking. AI can miss nuance, and responsibility sits with whoever signs.
- Not recording the dates you find. The biggest contract risk is usually a forgotten date.
Frequently asked questions
Does AI replace a lawyer's review?
No. AI speeds up reading and organizes information, but legal interpretation, negotiation and responsibility stay with the professional. The safest use is to treat the summary as a starting point: it shows where to look, and the lawyer checks against the original. For higher-risk contracts, a full review remains essential.
Is it safe to send contracts to AI?
It depends on the tool. Free public tools may use content in ways that don't fit professional confidentiality or data protection rules. The safe approach is contracted tools with terms that prevent your data being used for training, and anonymizing the parties wherever possible. That's built into the design from the start.
Does it work with scanned contracts?
It works if the text can be read. PDFs created from Word are read directly. Scanned contracts go through text recognition first, and it's worth checking sections with tables or small print. The better the file quality, the more reliable the extraction.
Can we compare a contract with our standard template?
Yes, and it's one of the most useful applications. AI points out clauses that were changed, removed or added compared with your template, which speeds up reviewing contracts that come back from the other side with edits. Each difference should still be checked in the text.
Who uses AI contract review most?
Law firms, real estate agencies handling leases and sales, companies bidding for public contracts, and admin teams managing supplier contracts. In every case, the gain comes from reading less from scratch and tracking dates better.
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