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Documents · Parse + Extract

Contracts and disclosures, read in seconds

Drop in a purchase agreement, disclosure, or lease and the AI extracts the terms, dates, and parties, flags what's missing, and files the structured data into your CRM and transaction folder. No manual re-keying of the same fields ten times.

  • contract + disclosure parsing
  • key-date extraction
  • missing-field flags
  • auto-filed to CRM
What a reader does to a file, illustrated
What went inWhat came out, structured
  1. A purchase agreement as a clean PDF

    extracted
    • Parties
    • price
    • the dates printed in fixed fields
  2. A disclosure scanned on an office machine

    gap found
    • Parties matched
    • one signature block empty
    • flagged for a person
  3. A rider photographed on a phone, changed by hand

    needs a rule
    • Handwriting read
    • what it counts from is missing
    • held back

An illustration rather than a real file: no client, no property and no date here belongs to anybody. What it is showing is the third row. A value the system cannot resolve is held back for a person rather than written with the likeliest guess, because a wrong date inherits the authority of your calendar and a blank one does not.

Why it matters

94.36%

what people scored answering factual questions about scanned and photographed business documents, in the published study that measured it

Mathew, Karatzas and Jawahar, DocVQA, Table 1, human performance on the test split

Transaction paperwork is a slow, error-prone tax on every deal. Automated extraction pulls the critical dates and terms out on the way in, so a deadline is flagged the day the contract lands, not the week it expires.

What it is

Document Processing, in plain terms

It reads the paperwork. A purchase agreement, a disclosure, or a lease goes in, and the terms, the key dates, and the parties come out as structured data rather than as a PDF somebody has to open and squint at.

It also tells you what is wrong: the missing signature, the field left blank, the date that contradicts another date. Then it files everything into your CRM and your transaction folder, and puts the deadlines on the calendar.

How it works

What happens, in order

  1. Drop the document in

    Purchase agreements, disclosures, leases, and addenda. Scans and photographs are handled as well as clean PDFs, and the quality of the original is the single biggest thing that moves how much comes back.

  2. It extracts what matters

    Terms, parties, and the dates: closing, inspection, mortgage contingency, and the ones buried in the middle of the document that nobody re-reads.

  3. It flags, files, and reminds

    Missing fields, missing signatures and anything the reader is not confident about all go to a person. What is settled is written to the CRM and the transaction folder, with the deadlines on your calendar.

  4. The counting rules get written down

    Every extracted value records which document and which page it came from, and the rules for turning a period into a date get agreed once, in writing, rather than being inherited from whatever the software assumed.

Use cases

Where it earns its keep

  • The deadline you saw on day one

    Key dates reach the calendar on the day the document arrives rather than when someone gets round to reading page nine.

  • The end of re-keying

    The same names, dates, and figures stop being typed into a CRM, a spreadsheet, and a checklist by hand.

  • The missing signature, caught early

    Found on the day the document arrives instead of on the day it matters.

Limits

What it does not do

Every other section on this page is selling you something. This is the one that says where it stops. If a vendor cannot tell you this about their own product, you have learned something anyway.

  • It does not guarantee a date. Misreading a line on a scanned rider is the failure mode of this whole category, which is why anything it is not confident about is flagged for a person rather than filed quietly.
  • It does not know what a value means. It reads what the page says. Turning a period into a date needs a counting rule that lives in your business rather than in the document, and if nobody has written that rule down the software has picked one for you.
  • It does not replace the document. The extracted fields are a reading of the contract, not the contract, so the original has to be kept and kept findable.
  • It does not give a legal opinion, and it should not. It surfaces what the document says and what is missing, so somebody qualified can act on it.
  • It does not replace reading the contract. It puts the dates on the calendar and the fields in the CRM. Understanding the deal is still the job.
  • It does not fix a document. A missing signature gets flagged, not solved, and chasing it is a person's work.

See it live

Easier to understand when you can touch it

Everything on this page is a node on the RealtyLT AI page: a galaxy that reshapes into a brain, with every service hanging off the core. Open the Document Processing node to read the same thing in its own habitat, and talk to the chat assistant while you are there, because that one is genuinely live.

Document Processingone node on the hub

Questions

Asked and answered

The questions people actually ask about Document Processing, answered the way we would answer them on the phone. If yours is not here, ask us and we will add it.

Can AI read a real estate contract?

Yes, and how well depends far more on the page than on the software. Printed text in a clean PDF is the easy case. A scan or a phone photograph is harder, and published research on real scanned forms found that finding the words on the page, rather than reading them, is where most of the loss happens. What it does not do is give a legal opinion, and it should not.

What happens if it gets something wrong?

Anything it is not confident about is flagged for a human rather than filed silently. That design exists because the two failures are not equally expensive: a blank field gets noticed and costs a few minutes, and a wrong date that looks right is believed by everybody downstream.

Is the extracted data the legal record?

No. The fields are a reading of the document made on a particular day, and they drop whatever the reader was not looking for, including a strike-through or a note in a margin. The federal rule on retaining electronic records asks for something that accurately reflects the information set forth in the contract, so the original stays the record and every extracted value should carry the document and page it came from.

Can it read handwriting?

Often, and the honest answer has a shape to it. Neat handwriting in a box designed for it is usually fine. What is genuinely hard is what matters most in real estate paperwork: a figure written over a struck-through one, a date altered in a margin, initials that are not meant to be legible even to a person. Those are the marks a build should be designed to flag rather than guess at.

Does it replace a transaction coordinator?

It removes the re-keying and the deadline tracking, which is the part of the job that is mechanical and the part where mistakes happen. The judgment, the chasing, and the client relationship stay with a person.

Read more

Written up in more detail

  • August 25, 2026

    It Read the Date Correctly. The Date Was Not the Deadline.

    The rider arrived as a photograph taken over a kitchen table, with two handwritten changes and a date among them. Everything was read correctly and the answer was still wrong, because what a deadline counts from is not printed on the page. What was actually measured on real scanned forms, what a person scores on the same task, and the phrase one regulation defines twice.

  • August 25, 2026

    The Empty Fields Got Filled. So Did the Ones That Were Already Right.

    Most of the blanks came back full, which is what you paid for. In one record the number a client gave you herself had been replaced, and nothing in the row said what was there before, where the new one came from, or when either was true. What an appended field actually asserts, why no honest decay rate exists, and the two columns that make all of it manageable.

  • July 13, 2026

    The Busywork Tax: What Workflow Automation Actually Removes

    The manual step takes ninety seconds. In the study that timed it, getting back to interrupted work averaged twenty five minutes when it resumed the same day. Here is what workflow automation actually removes from a real estate business, how to find your own version of it in an hour, and the failure mode nobody warns you about.

Want Document Processing running in your business?

Tell us what you do today and we will tell you honestly whether this is the right place to start. If it is not, we will say which one is.

Levan Tsiklauri

Builds these. Answers the phone himself.

(917) 905-7923