AI contract review
AI contract review, built for real estate.
A real estate contract is dense, and reading it — the parties, the price, every contingency and its deadline — is still a person's job, done page by page under a closing clock. Ratifyly's AI reads it instead. It doesn't just file the document and mark it received; it pulls out the terms, checks the file for what's missing or inconsistent, and shows its work. A human approves every call. This page explains exactly what that means, without the hype.
All transactions
23 transactions
2 findings need review
9 documents · $625,000 · Closing Aug 12
Ready to approve — every check passed
11 documents · $485,000 · Closing Aug 29
Reading paperwork…
4 documents · just added
What it reads
It reads the contract, not just the checkbox
Checklist software confirms a document arrived. Ratifyly reads what's inside it. From the contract text itself, the AI pulls the facts a coordinator would otherwise type in by hand — and files each document in a packet where it belongs.
- 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
FW: Ratified contract — 48 Harborview
jordan@yourbrokerage.com → deals@in.ratifyly.com
Filed automatically
48 Harborview Drive · 3 documents filed · deadlines updated · audit queued for review
What the audit catches
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
48 Harborview Drive
Audit ran 2 minutes ago · checks across the packet
Needs review · 2
Signature date differs from the ratification date
Lead-paint disclosure
EMD amount doesn't match the escrow letter
Purchase agreement
Passing · 12
Signatures present · dates consistent · required documents on file · wire instructions blocked from every portal
Amendments
A new document is read against the deal that already exists
An amendment isn't read in a vacuum. When a new document lands, the AI 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.
- 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
Your deadlines
2 need attention — don't let a contingency lapse.
Contract status
Lender status
· Fairview Mortgage
Closing office status
· Cornerstone Title & Escrow
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.
Scans & handwriting
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 & trust
Nothing ships on the AI's word alone
A human approves every call
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 dataWhere this is 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.
Beta, by invitation
Ratifyly is in 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 workSupport, 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 Ratifyly reads and every date it computes is decision support, not legal advice. Always verify terms and deadlines against the contract and the controlling statute.
Keep exploring
Or watch the whole path a single forwarded email takes, from intake to closing, on how it works.
See the AI read one of your contracts
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 every call.