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AI that reads your contracts so your team doesn't have to

Drop in a stack of agreements — PDFs or scanned paper — and get back the dates, dollars, renewals, and risk terms that matter, each one cited to the exact sentence it came from. See it read a real contract in minutes.

In short

We put AI to work reading your contracts and documents — pulling out the terms that matter, with a citation back to the exact line, so your team stops scanning PDFs by hand.

What you can expect
  • Hours of manual contract reading replaced by a few minutes of review
  • Fewer missed renewals, deadlines, and obligations
  • One searchable, structured source of truth for what your agreements actually say

Problems this solves

  • Key dates, renewals, and dollar figures live buried across hundreds of pages no one has time to read.
  • Auto-renewals and deadlines get missed because nobody is tracking every contract by hand.
  • When a question comes up, finding the answer means a person digging through a folder of PDFs.

Best-fit teams

  • Owners and founders
  • Executives and general managers
  • Operations and finance leaders
  • Any team sitting on a pile of contracts or documents

How we deliver it

  • Track 1

    Ingest contracts and documents straight from a shared folder — PDFs and scanned paper alike, OCR'd automatically.

  • Track 2

    Extract a defined set of business fields — parties, term, renewal, fees, payment schedule, risk and compliance terms.

  • Track 3

    Show a citation and confidence score for every value, so you can trust the answer and verify it in one click.

  • Track 4

    Export everything to a structured Contract Matrix your team can sort, filter, and report on.

Typical deliverables

  • An AI pipeline that ingests contracts from a shared folder and extracts your key fields automatically
  • A clean, exportable Contract Matrix — every term in one workbook instead of buried in PDFs
  • A reviewable view that highlights the exact source sentence behind every extracted value
  • Confidence scoring and automatic flags so low-certainty items get a human look before you rely on them

Expected outcomes

  • Built and running in production — this isn't a concept, it's a tool we've already deployed.

  • Every extracted value traces back to the exact sentence in the source document.

  • Deterministic logic, not the AI, recomputes dates and totals and decides what gets flagged for review.

  • Runs on the systems you already use — drop documents in a folder, get structured answers out.

Where AI fits

This is AI doing the heavy lifting end-to-end — reading the document, finding the terms, and citing its source — while deterministic checks recompute dates and totals and flag anything uncertain. The AI never gets the final word on a number; your team confirms what matters.

Related industries
  • Reporting and visibility

    Collect operational data across systems and turn it into dashboards leaders can use to see throughput and savings.

  • Document and intake processing

    Use structured workflows and AI-assisted handling to classify, summarize, and route documents or form submissions.

Common questions

Good questions. Honest answers.

Can we see it work before committing?
Yes — that's the best way to get it. We'll sit down with you and run it on a real contract so you can watch it pull the terms and cite the source live. Most owners decide in that first session.
Does it work on scanned or paper contracts?
Yes. Scanned PDFs and images are OCR'd automatically, so even agreements that only exist on paper become searchable and structured.
Can we trust what the AI pulls out?
Every value comes with a citation to the source sentence and a confidence score, and anything low-certainty is automatically flagged for a human to confirm. Dates and dollar totals are recomputed by deterministic rules, not left to the model.
Is our data safe?
Your documents stay in your environment. We build this on infrastructure you control, with access scoped to the people who should have it.
Next step

Ready to improve this workflow?

We'll scope the first implementation around the outcome your team needs most — in a written, fixed estimate.