What contract analysis software actually does
Behind the label there are two jobs. The first is extraction: finding specific facts in the text and filling structured fields with them. The second is review: comparing the text against a standard and flagging terms that deserve attention. Most teams without legal operations need the first job every day and the second one occasionally.
In AgreementSoftware, extraction fills these fields for every contract you upload:
- Parties
- Effective date
- Term
- Auto-renewal
- Notice period
- Termination
- Payment terms
- Liability cap
- Governing law
Each field shows the source sentence it came from, and every field is editable. On the Pro plan you can add custom extraction fields for terms specific to your business, such as a price review clause or a minimum volume commitment. From the extracted term and notice period, the software computes the notice deadline and alerts the contract owner at 90, 60, 30 and 7 days. For the review side, see our AI contract review page.
Where AI extraction is reliable
Extraction is strongest where contract language is conventional, and most commercial contracts are more conventional than they look.
- Parties and governing law. These usually appear in predictable places, in the opening paragraph and near the end, and are stated plainly.
- Explicit dates. "This Agreement is effective as of March 1, 2026" is easy to read correctly.
- Standard term clauses. "The initial term is twelve (12) months" or "for a period of three years" are read reliably, including numbers written in words.
- Standard auto-renewal wording. "This Agreement shall automatically renew for successive one-year periods unless either party gives written notice at least sixty (60) days prior to the end of the then-current term" contains the auto-renewal, the renewal period and the notice period, and all three are extracted.
- Payment terms. "Net 30", "payable within thirty days of invoice" and annual or monthly billing are read well.
- Liability caps stated as amounts or multiples. "Fees paid in the twelve months preceding the claim" is a common formulation and is recognised.
For a clean, typed contract that follows common drafting patterns, you will usually find the fields correct and spend your time confirming rather than correcting.
Where to double-check, and why
The weak spots are also predictable. They come from how the contract is written, not from chance.
- Dates defined by events. "The term begins on the Go-Live Date" or "on the date of the last signature" means the effective date is not in the text at all. The software can identify the rule, but the actual date has to come from outside the document. Enter it once and the deadline calculation follows.
- Amendments and side letters. An amendment that extends the term changes the dates in the original. Upload the amendment, link it to the original contract and check that the term field reflects the latest document.
- Cross-references. "Notice as set out in Section 14.2" is fine when Section 14.2 is in the same document. When it points to master terms on a website or in another agreement, the answer is not in the file you uploaded.
- Unusual renewal mechanics. Evergreen contracts that run until terminated, renewals that need a purchase order, or notice windows ("not earlier than 90 and not later than 60 days before renewal") deserve a manual read.
- Poor scans. Older contracts scanned at low resolution or photographed on a phone are harder for any reading tool. Check those extractions more carefully.
- Negotiated wording. Heavily redlined clauses, especially liability and termination, often contain carve-outs that change the meaning of a cap or a right. The extracted value is a starting point; the full clause is the answer.
The source sentence shown next to each field is what makes checking fast. You do not reread the contract; you read one sentence and confirm or correct the field.
A verification routine that takes minutes, not hours
Treat extraction as a very fast first reader and give people the job of confirming the fields that carry money or deadlines.
- Always confirm: term, auto-renewal, notice period and effective date. These drive the renewal alerts.
- Confirm above a value threshold: payment terms and liability cap, for example on any contract above $10,000 per year.
- Read the full clause: termination rights and anything heavily negotiated.
- Spot-check: parties and governing law on a sample, since they are rarely wrong.
As an illustration of time: checking four fields against their source sentences takes a minute or two per contract. For an archive of 200 contracts, that is an afternoon or two of focused work, compared with days of reading every agreement front to back. Start with the contracts that renew in the next two quarters.
Searching across clauses, not just reading one contract
Extraction answers questions about one contract. The other half of contract analysis is asking a question across all of them: which agreements are governed by New York law, which have a liability cap below one year of fees, which vendors can terminate for convenience. Full-text search finds exact words; AI clause search, part of the Plus plan and above, finds clauses by meaning, so a search for termination for convenience also returns clauses that phrase the same right differently. Treat search results the way you treat extracted fields: open the clause and read it before relying on it.
What contract analysis software is not
- It is not legal advice. Software reads what the contract says. Whether a term is acceptable for your company is a judgment for you and your counsel.
- It does not replace the signed document. The fields are a structured summary; the contract remains the source of truth, which is why the source sentence is always shown.
- It does not know what happened outside the document. Oral agreements, emails that waived a deadline or invoices paid on different terms are not in the file.
Knowing these limits is what makes the tool useful. A team that trusts extraction blindly will eventually miss something; a team that checks the fields that matter will catch far more than it did by reading PDFs by hand.
What happens to your contracts during analysis
Ask any vendor what happens to your documents when AI reads them. Our answers: documents are encrypted in transit and at rest, and we do not train AI models on your contracts. Your contracts stay yours; export everything, any time. The security page has the details. If your contracts contain protected health information, talk to us about your requirements before uploading.
Test extraction on your own contracts
Vendor demos use contracts chosen to look good. Test with yours: five clean agreements, five with amendments, a few scans and one with unusual renewal wording. Count how many fields you had to correct and how long it took to check each one. For the full list of criteria, read how to choose contract lifecycle management software. To see how extracted fields feed renewal alerts, see contract renewal management software, and for the wider product, see AI contract management software and our contract management platform features.
Extraction volumes are part of each plan: 50 documents per month on Starter, 300 on Plus with AI clause search, and 1 500 on Pro with custom extraction fields. The pricing page has the details.