Escrow Instructions With AI: Draft From the Contract, Then Check

Yes, AI can draft escrow instructions from a purchase contract, provided it first extracts the contract's terms into a labelled term sheet and then fills only your own approved template from that sheet. The officer then checks every field against the contract, resolves each flagged mismatch, and signs the final instructions.

The order matters more than the tool. Asking a chatbot to "write escrow instructions for this contract" gives you fluent text with plausible dates and a few invented clauses. Asking it to pull out the terms, flag what it cannot find and then populate a locked template gives you something an officer can verify in minutes.

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Why a blank template is the wrong starting point

Search for an escrow instructions template and you get blank forms. A blank form tells you which boxes exist, not what to put in them for the transaction on your desk. The slow part of the job is never the layout. It is reading a forty-page contract, two addenda and a lender's conditions, then carrying each term into the right field without a slip.

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That reading and carrying is exactly the work a language model does quickly. What it does badly is judgement: deciding which of two conflicting dates governs, or whether a seller credit belongs on the buyer's side. So the plan is to give the model the clerical half and keep the judgement half for the officer.

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One boundary to settle before anything else. Required wording, mandatory disclosures and the forms your jurisdiction prescribes differ from place to place, and often from company to company. Treat those as locked text that the AI may never rewrite. The AI fills the variable fields around them.

Local practice also decides when the instructions are written. In some offices escrow opens with joint instructions signed by buyer and seller soon after the contract; in others each party signs separate instructions a few days before closing. One regulator's reference guide describes both patterns and notes that the instructions are read together with the purchase contract and may supplement it. The method below works for either. Only the point in the file at which you run it moves.

Step 1: build a term sheet from the contract

The term sheet is a plain list of three things: the field name, the value taken from the contract, and the page or clause it came from. It is the hinge of the whole method, because every later step reads from it rather than from the contract again.

Here is a prompt that produces the sheet. Run it on the contract and every addendum together, in the order they were signed, so the model sees the amendments in context.

You are helping an escrow officer. From the attached purchase contract and addenda, extract these fields:
buyer names, seller names, property description, purchase price, earnest money (amount, holder, due date), loan amount, lender, closing date, possession date, credits and concessions, prorations, contingency deadlines.

Rules:
1. Give each value exactly as written in the document, with the page or clause number.
2. If two documents disagree, list both values and name the documents. Do not choose.
3. If a field is not stated, write NOT FOUND. Never infer or estimate.
4. Do not give legal opinions.
Return a table: Field | Value | Source | Notes.

Rule 2 is the one that earns its keep. A model told to "resolve" conflicts will pick one quietly. A model told to list both hands the conflict to you, which is where it belongs.

A worked example with numbers

Say a small escrow desk handles a residential purchase. The original contract gives a price of $412,000, earnest money of $8,000 due three business days after acceptance, a loan of 80 percent of the price and a closing date of the 28th. An addendum signed nine days later adds a seller credit of $4,000 towards the buyer's closing costs and moves closing to the 3rd of the next month.

The term sheet the model returns, trimmed, looks like this. The figures are illustrative.

Field            | Value                             | Source            | Notes
Purchase price   | $412,000                          | Contract p.2 s.3  | Unchanged by addendum
Earnest money    | $8,000, held by escrow            | Contract p.2 s.4  | Due 3 business days after acceptance
Loan amount      | 80% of price = $329,600           | Contract p.3 s.6  | Stated as percentage; figure calculated, CHECK
Closing date     | 28th (contract); 3rd (addendum 1) | p.5 s.11; Add.1   | CONFLICT: addendum later in time
Seller credit    | $4,000 to buyer closing costs     | Add.1 s.2         | Not in original contract
Possession       | NOT FOUND                         |                   | Ask parties

Two things are worth noticing. The loan amount was calculated from a percentage, so the model has flagged it for checking rather than asserting it: the check is $412,000 x 0.80 = $329,600, which matches. And possession was not stated anywhere, so it appears as NOT FOUND instead of a guess that possession happens at closing. Both outputs are what you want to see.

The officer's work on this sheet takes minutes: open each cited page, confirm the value, and decide the closing date question by asking whether the addendum was signed by all parties. A later agreement signed by everyone usually prevails over an earlier term (the same regulator's guide says this of instructions that conflict with the original contract), so the signatures on the addendum, not the model's reading, settle the date. That decision is a human one, and the term sheet has made it visible.

Step 2: draft the instructions from the sheet, not the contract

With a verified term sheet, the drafting prompt becomes narrow. You give the model your approved template with square-bracket fields, the verified term sheet and strict rules. It never sees the contract again, so it cannot drift back to a clause it half-remembers.

Fill the square-bracket fields in the template below using ONLY the verified term sheet.
- Do not change any wording outside the brackets.
- If a field has no value in the term sheet, leave the bracket in place and list it at the end under MISSING.
- Do not add clauses, dates or amounts.
- After the draft, list every field you filled with the term-sheet row it came from.

TEMPLATE:
[paste approved instructions template]

VERIFIED TERM SHEET:
[paste table]

A sample of the output, again illustrative, for two paragraphs of a buyer's instruction:

3. DEPOSIT. Escrow Holder acknowledges receipt of earnest money in the amount of $8,000.00 from Buyer, to be applied to the purchase price at closing.

4. CLOSING. The parties intend to close on [closing date: UNRESOLVED - see MISSING].

MISSING: closing date (conflict between contract and addendum 1), possession date.

Leaving the closing date unresolved in the draft is correct behaviour. A model that wrote "the 3rd" might be right here, but it would be right by luck, because nobody told it the addendum was fully signed.

Step 3: run a mismatch check before the officer reads

A second pass, ideally in a fresh chat so the model has no memory of its own draft, compares the finished draft with the term sheet and the lender's conditions. Fresh context matters: a model reviewing its own text in the same conversation tends to agree with itself.

Compare the draft escrow instructions with the term sheet. Report only differences, in this table:
Field | Term sheet value | Draft value | Match?
Also list any amount, date or name in the draft that is not in the term sheet.
Do not rewrite the draft.

The lender's instructions are the other half of the file. Buyer, seller and lender instructions must agree, and they are written by different people. Paste the lender's conditions in as a third document and ask for conflicts between the lender's figures and the term sheet. Say the lender's instructions show a loan of $328,000 against the contract's $329,600: that $1,600 gap is real, it holds up the closing, and it is precisely what a quick comparison catches on day one rather than the morning of signing.

What the mismatch report should flag

• Any amount that differs between instruction, contract and lender paperwork, even by a few dollars.
• Any name whose spelling, middle name or entity type differs between documents.
• Dates that fall on weekends or holidays in your calendar, which the model cannot know unless you tell it.
• Deadlines counted in business days, where the model must show the count it used.
• Any value the draft contains that the term sheet does not.

Version control when the contract changes

Contracts move. Addenda arrive, parties amend closing dates and credits appear late. Each change should produce a new term sheet version and a new draft version, never an edit on top of the old one, so you can always say which document the instructions were built from.

A workable convention, using the file number you already have:

• Term sheet: FILE-0000_termsheet_v1, _v2 and so on.
• Draft: FILE-0000_instructions_draft_v1, with the term sheet version it came from written in the header line.
• A one-line change log kept at the top of the term sheet: date, document that triggered the change, fields changed.

An illustrative log for the example above:

v1  contract signed          - initial extraction
v2  Addendum 1 received      - closing date 28th -> 3rd; seller credit $4,000 added
v3  Lender conditions in     - loan amount confirmed $329,600; payoff figure added

When v2 arrives, give the model the v1 sheet and the new addendum and ask for a v2 plus a list of changed fields. Then regenerate the draft from v2 and run the mismatch check again. Do not ask the model to "update the existing draft": that invites silent edits to text you did not mean to touch.

What the officer checks, and what stays human

The officer owns the final instructions. The AI has produced a draft and a report, nothing more. A tight check, in the order that catches the most:

1. Open the term sheet and confirm each value against the page it cites. Start with money and dates.
2. Read every MISSING and CONFLICT item and resolve it with the parties or the file, in writing.
3. Compare the draft with the clean template. Any changed sentence outside a bracket is a failure.
4. Check that required disclosures and prescribed wording are present and untouched.
5. Make sure no bracket, placeholder or MISSING note survives into the version the parties sign. The regulator's guide mentioned above says escrow holders may not accept instructions containing blanks to be filled in after signing, and that any later change needs the initials of everyone who signed.
6. Confirm the lender's, buyer's and seller's instructions agree with each other.
7. Sign off, record which tool produced the draft, and keep the term sheet in the file.

The third check is quick because a document comparison between template and draft shows every changed word at once. Whatever your escrow software or word processor offers for comparing two versions will do it.

Before and after: one messy clause

Contracts rarely state terms in tidy fields. Here is an illustrative clause as it might appear, followed by what the extraction step should return.

CLAUSE (as written): "Buyer shall deposit earnest money of one percent of the purchase price within three days of mutual acceptance, said sum to be held by Escrow Holder, and a further $4,000 upon removal of the inspection contingency."

EXTRACTION:
Earnest money, first deposit | 1% of price = $4,120 (price $412,000) | p.2 s.4 | Calculated; "three days" - calendar or business? NOT STATED
Earnest money, second deposit | $4,000 | p.2 s.4 | Due on removal of inspection contingency; date depends on contingency deadline
Total deposits | $8,120 | calculated | CHECK against deposit receipts

Notice what the clause hid: two deposits, one of them tied to an event rather than a date, and a time limit that does not say which kind of days. The model surfaced all three as questions. That is the standard to hold it to. If an extraction hands you a single tidy "$8,000 deposit" from this clause, it has averaged away the detail.

A cash purchase and a financed one, side by side

The same method behaves differently on different file types, and it helps to know before you start. On a cash purchase there is no lender, so the instructions are shorter and the term sheet has fewer rows; the risk moves to proof of funds and the wire details, which belong to the officer's usual verification, not to the model. On a financed purchase the risk is the gap between three sets of instructions, so the lender comparison does most of the work.

On a purchase with an assumed loan, a seller carry-back or a related-party sale, treat the extraction as a reading aid only. These files are irregular enough that an officer will rewrite more of the draft than they keep, and the time saving will not appear. Start the pilot on straightforward residential files and widen slowly.

Ask the model to argue against its own sheet

One more cheap step before the officer's check: a prompt in a fresh chat that gives the model the contract and the term sheet and asks it to find three places the sheet might be wrong or incomplete. It will not always find any, but when it does, the findings point to the page worth rereading. Treat the answers as leads to verify, never as conclusions.

Three ways this goes wrong in practice

The model resolves a conflict silently

You asked for a term sheet and the model returned one clean closing date. Looking back at the contract, there were two. The fix is rule 2 in the extraction prompt, plus a habit: any table without a single CONFLICT or NOT FOUND row on a file with addenda deserves suspicion, not relief.

A figure is calculated rather than quoted

Percentages in contracts ("80 percent of the price") tempt the model to calculate. Its arithmetic is usually right and sometimes not, especially with credits layered on top. Treat any calculated figure as flagged until you do the sum yourself and tie it to the lender's number.

Template wording drifts

Models like to improve prose. A sentence in your locked clause gets "tidied" and a defined term changes. The comparison against the clean template catches this, and the instruction "do not change any wording outside the brackets" reduces it. It does not eliminate it, which is why the comparison is a step and not a suggestion.

Keeping client documents off the wrong tools

A purchase contract holds names, addresses, financing figures and often account details. Decide in advance which tool is allowed to see it. A consumer chatbot on a personal account is the wrong place. An approved business tool with data terms you have read, or a feature inside your escrow platform, is the right one. Where neither exists, redact names, account numbers and addresses before extraction and put them back in the template step by hand. Redaction costs a few minutes and removes the question.

Write the rule down and put it where officers will see it, then check it from time to time. If you are drawing up such rules, the AI compliance checklist for small businesses is a useful model for how short the document can be.

Checking that the method saves time

Run it alongside your normal process on ten files before you trust it. For each, record the minutes spent building the instructions the usual way, the minutes spent on term sheet plus check, and the number of corrections the officer made after the AI draft. If corrections are frequent and the time saved is small, the contracts you handle may be too irregular for extraction, or your template may need more locked sections. If corrections are few, widen to the next file type.

A realistic pattern, which is illustrative and not a measured result: the term sheet takes a few minutes, the officer's verification takes longer than the drafting did, and the saving comes from not retyping and from catching the mismatches early. If you see the savings only in drafting speed and not in fewer late corrections, the checks are being skipped.

Other places the same term sheet pays off

Once the sheet exists and is verified, it feeds more than the instructions. A few uses, each of which reads from the sheet instead of the contract:

• A deadline list. Ask for each contingency date as a calendar line, with the clause it came from. The officer checks the dates and adds them to the file diary.
• A document checklist. Compare what the contract requires (payoff letters, certificates, deposits) against what is in the file and list what is outstanding.
• A status email. A short plain message to the parties listing what is received and what is missing, drafted from the sheet and read by the officer before it goes.
• A closing-day summary. The key figures on one page for the signing appointment, with a column for the officer's tick.

The neighbouring tutorial on sorting incoming documents with AI covers the stage before this one, getting the file into order so the model reads the right pages. And how conveyancers cut admin per transaction shows a similar split between machine clerical work and human judgement on a related workflow.

Training a new officer on the same routine

The term sheet doubles as a teaching tool. A new officer can take a closed file, build the sheet by hand, then compare it with the model's extraction of the same contract. Every difference is a conversation: either the model missed something, or the officer did. Do this on three closed files and the new starter learns where contracts hide their terms, while you learn how far to trust the extraction on your own paperwork. Keep the closed-file exercises free of live client data where you can, by redacting names and account numbers first.

A short rule set to pin above the desk

• Extract first, draft second, compare third, in three separate prompts.
• The AI never chooses between conflicting terms and never fills a gap.
• Locked wording stays locked; changes outside brackets are errors.
• Every file keeps its term sheet versions and a change log.
• Client documents go only to approved tools.
• The officer's signature is on the final instructions, always.

If you would like help working out which steps in your own escrow workflow suit this, my AI implementation consultation starts from your current process rather than from a tool.

Questions escrow officers ask before trying this

Should I paste the whole contract into a chatbot?

Only into a tool your company has approved for client documents and whose data terms you have read. Contracts hold names, addresses, loan figures and account details. Where no approved tool exists, redact those fields first or keep the work in your escrow software.

Can AI know my state's required wording?

No. It can only reproduce wording you supply. Keep your approved forms and mandatory disclosures as locked text, and let the AI fill only the variable fields around them.

Who is responsible if the instructions are wrong?

The officer who issues them, exactly as before. The AI is a drafting aid. Your sign-off, and your company's review rules, decide what leaves the building.

How do I know the term sheet is right?

Check every field against the contract page it came from. Ask the AI to cite the clause or page for each value, then verify the citations rather than trusting them.

Further reads

• AI Listing Mistakes That Can Mislead Buyers, and How to Check — How wrong AI details slip through, in a property setting.
• AI Governance Checklist for Small Financial Advice Firms — Writing the internal rules your officers will follow.
• Can Lawyers Use AI Note Takers in Client Meetings? — Confidentiality questions when AI touches client matters.
• AI Client Intake for Law Firms: Qualify Enquiries Out of Hours — Structured intake in another document-heavy profession.
• AI Real Estate Contract Review: Deadlines and Contingencies — A realtor's method for turning a signed purchase contract into a checked deadline calendar: extraction prompt, contingency table and entries.
• Title Commitment Review With AI: Exceptions, Requirements and Checks — Build an exceptions and requirements table from a title commitment with AI, cross-check it to the deed and payoff letters, and keep the examiner's sign-off.
• Closing Disclosure Review: A Pre-Closing Checklist With AI Checks — A figure-by-figure escrow review that uses AI to find mismatches while the officer checks evidence and signs off.
• AI for Title Companies: Six Jobs Where It Helps and Where It Fails — Six title and escrow workflows with the precise point where AI assistance ends and a trained reviewer takes over.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: Old Republic Title's escrow services page (what an escrow holder does: written instructions, lender requirements, prorations, payoffs) and a real estate regulator's reference chapter on escrow (joint and separate instructions, conflicts with the contract, no blanks after signing), both read 4 November 2026. No vendor pricing is quoted.