Read the contract. Skip the reading.
An AI document assistant that reads your contracts and invoices and hands back clean, structured data — every value cited to the exact spot it came from, and a human in the loop wherever it's unsure. The page stops being a wall of text and becomes the few numbers you actually needed.
Somewhere, someone is keying a PDF into a spreadsheet by hand.
Every business runs on documents it has to read and re-type — invoices into the ledger, terms out of a contract, fields off a form. It's slow, mind-numbing, and exactly the kind of work where tired humans make expensive mistakes. This demo shows the alternative: an assistant that reads the document, pulls out the values that matter, and cites each one back to the source so you can trust it. Not a magic black box, and not a sci-fi gimmick — a practical tool that does the reading so your people don't have to, and shows its work so you can check it.
From a page of text to the data you need.
- 01
Reads real documents
Contracts, invoices, forms, and scans — native PDFs and photographed pages, across the messy layouts real paperwork actually arrives in.
- 02
Extracts the fields that matter
Vendors, dates, totals, line items, key clauses — pulled out as clean structured data instead of a wall of text to re-key.
- 03
Cites every value
Each extracted figure links back to the exact place on the page it came from, so any answer is one click from being verified.
- 04
Flags what it's unsure of
Low-confidence values are surfaced for a quick human check rather than silently guessed — review, don't re-type.
Five steps from document to data.
- 1UploadPDF or scan
- 2ReadOCR + parse
- 3ExtractFields & clauses
- 4CiteBack to the page
- 5ExportInto your system
Drop in a document, the assistant reads it, extracts the fields and clauses you care about, cites each value back to where it appears on the page, and hands the structured result to your systems. Anything it's not sure about is flagged for a person — so the output is fast and trustworthy, not fast and risky.
Does the reading. Shows its work.
Structured data you can act on — and a citation for every figure.
Output your systems can actually use.
A summary in prose is nice; a clean record your software can ingest is useful. The assistant returns defined fields — typed, validated, and consistent — as JSON, a table, or a row written straight into your system, so the result of reading a document is data, not another document to read.
- Defined fields, typed and validated — not free text
- JSON, table, or a direct write to your system
- Consistent schema across every document of a type
No figure without a source.
The reason most document AI never makes it past a pilot is that nobody trusts an answer they can't check. So every value here carries a citation — the page and the place it was read from. Verifying a total or a date takes one click, not a re-read, which is what turns “impressive demo” into “we actually use this.”
- Each value linked to its exact spot in the source
- Verify in one click — no re-reading the document
- Confidence shown, low-confidence values flagged
Built for the documents that pile up.
Accounts payable
Invoices read and posted as structured line items — vendor, dates, amounts, tax — instead of typed in by hand each month-end.
Contract review
Key terms, dates, parties, and obligations pulled from agreements, each cited, so review starts from the facts instead of a cold read.
Forms and intake
Submitted forms and applications turned into clean records in your system, with the messy ones flagged rather than mis-keyed.
Turn the pile into a database.
Every document read, structured, and cited — and your people freed from the keying.
The things people ask first.
See it on your documents.
This Demo Lab build shows the idea on sample contracts and invoices. Send us a batch of your real documents and we'll run it on them, prove the accuracy, and show you exactly what a version built for your workflow would do.