AI document & contract intelligence

Tons of corporate documents?
Turn them into instant answers.

We build a RAG system and a smart AI pipeline over your own files — so your team stops digging through PDFs and starts getting cited answers in seconds. Save time. Save money.

Tons of documents
Contracts, policies, scans — scattered everywhere.
We index it all
OCR + a private, searchable RAG index over every file.
Ask, get cited answers
Retrieve → rerank → answer → cite — or an honest “not found.”
Save time & money
Hours of review become seconds.
The problem

Your answers are buried in paperwork.

Teams still read contracts by hand. It’s slow, it’s risky, and generic chatbots aren’t safe enough for real work.

01

Endless searching

Finding one clause means hours of Ctrl+F across hundreds of documents and scans.

02

Missed deadlines

Auto-renewals and obligations hide in the fine print — until it’s too late.

03

No safe AI

You can’t paste confidential contracts into public ChatGPT, and it won’t cite its sources anyway.

How it works

From document pile to cited answer.

Three steps your team will see, end to end — and, running automatically inside step 3, the AI pipeline that finds and cites the answer.

1

Bring in your documents

We connect your storage (SharePoint, Google Drive, your DMS) — or you upload manually: PDFs, Word, scans.

2

We prepare your data

Scans are recognized with OCR and digital files are pulled in automatically, building a private RAG index over your contracts — grounded, searchable, secure.

3

Put them to work

You ask questions per client and get answers linked to the exact clause — or an honest “not found” instead of a guess. Plus auto-built checklists, tasks and reminders for every contract.

Under the hood of step 3
The AI pipeline
ingest retrieve rerank generate cite

Not a separate flow — this is what happens automatically every time you ask a question in step 3. Your documents are indexed, the most relevant passages are retrieved and re-ranked, and the answer is built only from them, with the source attached and low-confidence questions refused.

Why us

Trustworthy where it matters.

Cited, always

Every answer links to the exact clause — verify in seconds, not on trust.

“Warehouse Lease Agreement” · score 0.519 →
02

Honest “I don’t know”

Grounded, not guessed. If the answer isn’t in your documents, it says so — instead of inventing one.

03

Your data stays yours

Per-client isolation, no training on your data, on-prem option.

04

Measured reliability

We track accuracy, citation correctness and hallucination rate — numbers, not promises.

05

Works on scans

OCR turns image-only PDFs into searchable, cited text.

06

No rip-and-replace

We add a layer over your existing systems. Nothing to migrate.

Seconds
to find any clause — not hours
100%
of answers carry a source citation
Zero
confidential data sent to public tools
2–4 wk
to a working pilot on your contracts
Where it pays off

Built for document-heavy teams.

Everyday jobs

Contract Q&A · renewal & obligation tracking · due-diligence across a data room · vendor & procurement contracts · clause & risk review.

Who we build for

Law firms & legal ops
Insurance brokers
Logistics & procurement
PE / M&A
Security & trust

Made for confidential documents.

Data residency

Deploy in your region — US or EU.

On-prem option

Run fully inside your environment.

Access & audit

Role-based access + tamper-evident audit trail.

Compliance-ready

GDPR-aligned; EU AI Act–ready.

Low-risk start

Start with a paid discovery pilot

In 2–4 weeks we run it on a sample of your own contracts, measure accuracy on your questions, and show the ROI — before any big commitment.

See it live

Real answers on real contracts.

Not a mockup of a mockup — this is the actual live demo, screen for screen: retrieval-augmented answers over real contracts, clickable citations, and an honest guardrail.

doc-rag-agentic-ai.vercel.app/ask REAL RAG
What is the warehouse rent per m2?

The warehouse rent is EUR 3.70 /m2/month for the Warehouses. (Source: [1])

“Warehouse Lease Agreement” · score 0.519 →
What is the home address of Northwind’s CEO?

Not found in the provided documents.

FAQ

Questions we hear.

How accurate is it — can we trust it?

Every answer is grounded in your documents and cited to the exact clause, so it’s verifiable in seconds. The system refuses when the answer isn’t there, a human stays in the loop, and we measure accuracy and hallucination rate on a labelled set of your questions.

Where does our data go?

Your choice — isolated per client, an LLM that doesn’t train on your data, or fully on-prem so nothing leaves your environment. Access is role-based and every action is logged.

Do we replace our current systems?

No. We add an intelligence layer over your existing document store and workflows — no migration.

What about scanned contracts?

Scans and images are handled with OCR, turned into searchable, cited text and indexed. “Half our contracts are scans” isn’t a blocker.

Get started

Let’s put your documents to work.

Tell us about your documents and the questions your team keeps asking. We’ll show the demo and scope a pilot on your own contracts.