Software

AI contract review, built for real estate.

A real estate contract doesn’t give up its terms easily: the parties, the price, and every contingency with its deadline sit scattered through a dense packet a person normally reads page by page, under a closing clock. Ezra, Ratifyly’s assistant, does that reading. He pulls out the terms, checks the file for what’s missing or inconsistent, and shows his work with the source page attached, and a human approves what counts. This page explains exactly what that means, without the hype.

app.ratifyly.com/transactions/123-maple

123 Maple Avenue

Needs you · 1 check$485,000

Approve transaction

Resolve first: 1 review item

Read from the contract

Take another look
Purchase price$485,000
Earnest money$4,850
RatifiedJul 8, 2026
Closing dateAug 8, 2026

Parties · 5

Emily & Marcus Chen

Buyers

Robert Palmer

Seller

Fairview Mortgage

Lender

Cornerstone Title & Escrow

Title

Every field is a proposal: a person confirms or corrects each one.

The terms

Reading every page is table stakes.

Plenty of software can read a contract now. Ezra reads so Ratifyly can orchestrate: every date, every contingency, every dollar, routed to the seat that has to act on it. The reading proves the layer works. The whole is the product.

  • Parties and their roles: buyer, seller, and who represents each side
  • Price, earnest money, and deposits, read from the contract, not re-keyed
  • Every contingency and the deadline that governs it: inspection, financing, appraisal, title
  • The day-counting convention the contract uses (calendar or business days), applied the way the form defines it
  • What’s actually in the packet: a combined PDF is split into its real documents and each is identified
ezra@in.ratifyly.com
JR

FW: Ratified contract, 48 Harborview

jordan@yourbrokerage.com → ezra@in.ratifyly.com

9:14 AM
PDFPurchase_Agreement.pdfPDFLead_Paint.pdfPDFEMD_receipt.pdf

Filed automatically

48 Harborview Drive · 3 documents filed · deadlines updated · audit queued for review

The audit

Every finding comes with its evidence

Once the file is read, it’s cross-checked against itself and against what the deal expects to see. Each finding is surfaced with the source page one click away, for a human to approve or dismiss. Nothing clears on the AI’s word alone.

  • Missing signatures and initials: the page and the party still outstanding
  • Dates that don’t line up from one document to the next
  • Required disclosures that never made it into the file
  • Deadlines that conflict once the contract is read as a whole
  • Documents the deal expects that never arrived
app.ratifyly.com/transactions/48-harborview

48 Harborview Drive

Audit ran 2 minutes ago · checks across the packet

Must resolve · 2

Signature date differs from the ratification date

Lead-paint disclosure

Approve

EMD amount doesn't match the escrow letter

Purchase agreement

Approve

Passing · 12

Signatures present · dates consistent · required documents on file

A human approves what countsApprove transaction

Amendments

Every deadline moves with it

When a new document lands, software reads it against the deal already on file, and when a date moves, the whole timeline re-flows so every dependent deadline lands where it should. The audit re-runs, so a late change can’t quietly break a date downstream.

app.ratifyly.com/transactions/48-harborview

Your deadlines

1 needs you now; don't let a contingency lapse.

Needs you now

Inspection periodJul 25Due in 2dSet date

Coming up

Financing approvalJul 27In 4d
Final walkthroughJul 29In 6d

Done

Earnest moneyPaid Jun 16
Loan applicationSubmitted Jun 13

Contract status

Now: Inspection
Inspection

Lender status

Fairview Mortgage

Now: Underwriting
Underwriting

Closing office status

Cornerstone Title & Escrow

Now: Title received
Title received

The new document is reconciled with the contract it changes, not read alone

Move the closing date and every dependent deadline shifts with it

The audit re-runs on every change, so nothing silently falls out of date

Dates are the highest-stakes part of a file: the failures that cost a deposit are almost always a deadline nobody re-counted. More on why, and how to build a file that catches them: The deadlines that decide a deal.

Hard inputs

Scans and handwriting, handled honestly

Not every contract arrives as clean text
Some files are faxed, photocopied, or photographed on a phone, and some carry handwritten dates and initials. A true scan or a handwritten page is read with a vision-capable model that works from the image itself, not just extracted text.
Harder inputs get more scrutiny, not a guess
When an input is ambiguous (a smudged date, an initial that could belong to one of two people), it’s escalated for closer review instead of being turned into a confident guess. Clean PDFs are the easy case; the system is built to ask rather than assume.

Approval and trust

Nothing that counts ships on the AI’s word alone

A human approves what counts
Every extracted field, every finding, every computed date is a proposal. A person reviews it and approves or dismisses it before it counts. The AI does the exhaustive reading; the human makes the calls that carry consequence. The human-in-the-loop isn’t a stopgap until the models improve: in a file where a wrong reading has legal and financial weight, it’s the point.
Handled like a brokerage protects its own files
We take in the least data that makes the product work, wall every account off from every other, and encrypt what we store in transit and at rest. Your contract is read and audited: never sold, never shared, and never used to train AI models.How we handle your data

Still early

An honest read on what AI review does and doesn’t do

The most AI-curious audience deserves the caveats, not just the pitch. Here is where the category is young and where the human is load-bearing by design.

Early days for the category
Software that reads the file (instead of just storing it) is new. It works, and it works on real transactions, but it doesn’t yet have the decade-long track record the tools before it do.
Invite-only early access
Ratifyly is in invite-only early access, not general availability. We onboard brokerages and teams deliberately so each one gets set up right, rather than opening the doors and hoping.
State variance is real
Counting a deadline correctly in one state is not the same as counting it in the next: forms, contracts, and statutes differ. Coverage is built one jurisdiction at a time.See where we work
Support, not replacement
AI review makes a reviewer far more effective; it does not make the reviewer optional. It supports the professional judgment of an agent, broker, or attorney; it doesn’t replace it.

Everything Ezra reads and every date he computes is decision support, not legal advice. Always verify terms and deadlines against the contract and the controlling statute.

See what your next contract becomes

Forward a recent contract and we’ll show you the review it produces: the terms it extracts, the findings it raises, and the deadlines it tracks, with a human approving what counts.