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AI Adoption GuideSalesClose

Signed-contract data extraction

AI pulls ARR, term, renewal date, and key clauses from executed contracts into the CRM, using tools like Ironclad or LinkSquares.

Sales processProspectQualifyDiscoverProposeNegotiateCloseHandoffRenew

By Don, DoneThat’s AI coach · updated

Extract from the executed packet, never from a draft

The source document is the signed PDF after the envelope is complete. A Word redline, a DocuSign envelope still in routing, and last week's quote all contain numbers the customer may never have agreed to. Write those into Salesforce and you book ARR, term, and dates the paper does not support.

Wait for a completed envelope. DocuSign is usually the completion event and the PDF source. Until that file exists, leave commercial fields on the opportunity alone. If the AE already typed a number from memory, treat it as a proposal.

Ironclad and LinkSquares are examples of the CLM class that extracts fields from executed agreements and can sync them toward Salesforce. DocuSign supplies the completion event. Salesforce is where the opportunity, account, and contract objects live. That is a job split, not a ranking.

Do not extract from:

  • drafts, redlines, or "final" Word files in email
  • voided or declined envelopes
  • a quote or CPQ output that was never the signed paper
  • an unsigned MSA still in markup

If contract redline AI ran during negotiate, that markup is history. This job reads only the packet every party signed.

Pull ARR, term, renewal, notice, and cap with a citation

Each field needs a value, the document it came from, and a rule for not found. Guessing is how a missing notice period becomes a date nobody questions until the window has closed.

Treat the close as a packet, not a single PDF. Commercial numbers often live on the order form. Notice, liability cap, and auto-renew mechanics often live in the MSA or an amendment. An extractor that reads the short file and skips the rest will fill ARR and miss the terms CS and renewals actually need.

For each executed close, propose:

  • ARR (or ACV). The recurring amount on the signed order form, after discount. If the form shows a ramp, extract year one and flag the ramp. Do not annualize a short pilot unless the paper says the amount is annual.
  • Term. Start date and end date as written. If the paper says twelve months from the Effective Date, extract both. Do not invent an end date from Close Date.
  • Renewal date. The date the paper names, or the day after term end when that is how the paper works. If the paper is silent, leave it empty.
  • Notice. The window to prevent auto-renew, including which party must give it. This is almost never on the order form.
  • Cap. Liability cap, including whether it is a multiple of fees, a fixed amount, or carved out for certain claims. If the order form says "per the MSA" and the MSA is not in the packet, do not copy a cap from another deal.

No citation means the field is not found. Clause precedent retrieval is a negotiate-time search over approved language. This job copies what this customer signed.

Match the legal name on the signature block to the Account legal name before any field is proposed. Quotes often sit on the parent. Signers are often a subsidiary. If the names do not match, stop and queue a person. Do not write the terms onto the parent because that is where the opportunity already lived.

Empty stays empty, and overwrite waits for a person

Speed is the hours between envelope complete and a complete opportunity record, not a silent write. The extractor proposes ARR, term, renewal, notice, and cap. An AE or deal-desk owner confirms, then Salesforce is updated.

  • Empty stays empty. If the paper does not state a renewal date or a cap, leave the Salesforce field blank. A guessed date looks like a fact. A blank is a visible gap.
  • Do not overwrite a populated field without an explicit confirm. Close Date is the usual casualty. Ops already corrected it to the booking date finance will defend. The extractor reads a DocuSign completed timestamp or an Effective Date and puts that into Close Date. Protect Close Date, Amount, and booked ARR when a human already set them. Proposed values sit beside those fields until someone accepts the change.
  • Uncited values do not write. Vendor confidence scores are not a reason to skip review. You do not need an extraction accuracy rate. You need a person who can see the snippet and the field together.

The confirmation queue should show the opportunity, the legal entity on the paper versus the Account, and each field as old value, proposed value, and citation, with Accept, Edit, or Reject per field. Reject means leave the CRM as it was, including empty.

Once confirmed, those fields are what sales-to-CS handoff briefing and auto-renew and anomaly detector should read. If CS still gets a briefing built from the quote, extraction did not finish. A cross-system handoff agent that copies unconfirmed opportunity fields will spread the same error into the CS platform.

Illustrative example: Harborline's UK expansion

The following is a made-up but realistic close, not a case study and not reported results.

Harborline sells a usage-based analytics product. Deal desk owns Salesforce hygiene after signature. An AE closed an expansion with a long-time customer. The US parent Account already had a 2023 MSA. The expansion order form was signed in DocuSign by the UK subsidiary. The AE attached that order-form PDF to the opportunity and marked it Closed Won. Ops had already corrected Close Date to the date finance would book.

They turned on extraction from the signed PDF into Salesforce, using a CLM in the same class as Ironclad or LinkSquares, triggered off DocuSign complete.

What the model proposed from the order form alone

  • ARR matching the expansion line
  • A twelve-month term and an end date
  • A renewal date inferred as term end
  • Notice and cap filled from language that looked like Harborline paper, because the order form said "per the MSA" and the MSA was not in the packet

What was wrong

  • The MSA on the parent Account had a ninety-day notice and a cap tied to fees paid in the prior twelve months. Neither landed on the opportunity.
  • Close Date was overwritten with the DocuSign completed timestamp, undoing the ops correction.
  • Fields were written to the US parent because that was the opportunity Account. The signer was the UK entity.

What they changed

  1. Extraction runs only on envelope complete, and only when the packet includes every document in that envelope, not the first PDF the AE attached.
  2. ARR, term, renewal, notice, and cap are proposed with citations. A missing MSA means notice and cap stay empty, with a packet-incomplete flag, not values borrowed from another deal.
  3. Legal name on the signature block must match Account legal name, or the queue stops for deal desk.
  4. Close Date, Amount, and existing booked ARR are not in the auto-write map. They appear as proposed diffs.
  5. The AE or deal desk confirms field by field. Empty stays empty.

The CRM caught up after confirmation, not at the moment of signature.

Measure hours to confirmed fields on the right account

Success is speed with a clean record: time from DocuSign complete to confirmed ARR, term, renewal, notice, and cap on the right Account, with Close Date untouched unless a person changed it.

Track this on a trial slice, one product, one region, standard paper first:

  • Time from envelope complete to the confirmation queue
  • Time from queue to confirmed fields
  • How often notice or cap came back empty because the MSA was missing
  • How often the queue stopped on legal-entity mismatch
  • How often a proposed Close Date or Amount differed from what ops had already set

Those diffs are the overwrite risk. Start with the form you actually use for most closes. Add amendments once the packet rule holds. If confirmation is a rubber stamp because the UI hides the snippet, you have moved typing into a click, not reduced risk.

The extractor is doing its job when deal desk spends the close hour checking citations on the signed packet, not re-keying the order form, and when finance, CS, and renewals all read the same confirmed fields.

Is this worth automating for you?

Whether this pays back depends on how much time it takes your team today. Most teams estimate that from memory, and the estimate is usually wrong in one direction or the other.

DoneThat reconstructs where the time actually went, with no timers to forget, so you can measure the baseline before committing to a project and check the gain afterward.

Measure the baseline first