LDIPContract data extraction: Every contract, read once. Findable forever.
Executed instruments read once and findable forever — roughly twenty fields per document, each with a confidence score and a page citation, filed into a fuzzy-searchable archive.
A 30-minute working session, then a proof of concept on your own data — both at no cost. A specialist responds within one business day.
- ~20 fields, cited
- Every extracted value linked to its source page
- Confidence-gated
- Below threshold goes to a human reviewer
- Fuzzy search
- Find any document, even with a typo or partial match
Industries
Banking & trade finance · Real estate & property · Legal & compliance · Tax & regulatory
Works with
OCR · Retrieval-grounded checks · Tagged archive
Built for
Corporate legal & contracts · Compliance & risk · Banking & trade finance · Real estate, tax & regulatory affairs
A folder tree or a keyword index. Both lose the document.
Approach A
Shared drive folders
Documents are saved in a folder tree by whoever uploaded them. Finding one later means remembering the exact file name — no field, clause or date is ever queried directly.
Approach B
Legacy DMS / keyword search
A document management system indexes file names and exact text. Miss a spelling, a synonym, or a scanned page with no text layer, and the search returns nothing.
humaineeti
Intelligence + fuzzy search
Every document is read, classified and extracted on upload. Fuzzy keyword and tag search finds it even with a typo, a partial name or an OCR misread — with the source clause a click away.
How it runs
Each stage, and what it hands to the next.
- 01
Ingest
Scanned, handwritten or digital documents, preprocessed and OCR'd.
- 02
Extract
Classified into one of five types; fields pulled with a confidence score and a page citation.
- 03
Verify
Anything below threshold goes to a human reviewer; the original value is always kept.
- 04
Approve
Retrieval-grounded compliance check, two-stage sign-off before delivery.
- 05
Store & search
Filed into a tagged, fuzzy-searchable archive with a full audit trail.
At a glance
Side by side, on the things that decide it.
Swipe the table to compare
| Shared drive | Legacy DMS | LDIP | |
|---|---|---|---|
| Every field cited to its source page | No | No | Yes |
| Confidence score on every extracted value | No | No | Yes |
| Fuzzy keyword & tag search across the archive | No | Yes | Yes |
| Five agreement types on one pipeline | No | Yes | Yes |
| Two-stage human approval before delivery | No | No | Yes |
| Full audit trail behind every decision | No | Yes | Yes |
If the right-hand column is what you need, prove it on your own data at no cost.
Included free · Demo + PoC
Send one agreement type — see it extracted, cited and searchable.
One agreement type · your sample set · no cost
How it runs
- You pick one instrument type and share a representative sample
- We configure the field schema, confidence thresholds and compliance references
- You search the archive the way your team actually searches it
What you provide
- A sample set of one agreement type (redacted is fine)
- The fields your team needs off each document
- A reviewer who can calibrate the confidence threshold
What you get back
- Extracted fields with a confidence score and page citation for each
- A working fuzzy keyword and tag search over that sample archive
- An exception report showing what routed to human review, and why
The demo and the PoC come together, at no cost. You keep the findings whether or not you go ahead — no licence, no commitment, no procurement paperwork to start.
Before you ask us
Where it runs, what it touches, what it costs.
- Where does it run?
- In your environment or ours, as your legal and compliance teams require. Executed instruments never have to leave your boundary.
- What can it change without us?
- Nothing reaches a client without two-stage human sign-off, and anything below the confidence threshold routes to a reviewer before that.
- Is our data used to train models?
- No. Executed agreements are privileged and confidential. They are processed for your archive only.
- What does it cost after the sample set?
- The first agreement type is free. Production is priced per document or per annual volume — scoped on the call.
What document types does it handle?
Executed instruments — distributor agreements, NDAs, tax orders, bank bonds and property documents — classified automatically into one of five types on a single pipeline, including scanned and handwritten pages.
What happens when the model isn't sure?
It does not guess silently. Anything below the confidence threshold is routed to a human verification queue, and the original extracted value is always retained alongside the correction.
Why does fuzzy search matter?
Because exact-match search is where legacy DMS fails. A misspelling, a synonym, a partial party name or an OCR misread returns nothing in a keyword index — fuzzy keyword and tag search still finds the document.
Can an auditor follow a decision?
Yes. Every extracted value carries a citation to its source page, and every decision — extraction, correction, both approval stages — sits on an append-only audit trail.
LDIP
Put your next executed agreement on record.
How it works and about humaineeti
How it works
One free engagement. Then production.
01Free
The demo
30 minutes on your use case, with the product open.
02Free
The proof of concept
Scoped to your own data. The findings are yours either way.
03
Production, governed
Approval gates, audit trails and data residency, in your environment.
About humaineeti
Agentic, but accountable.
humaineeti — human + AI + neeti — engineers agentic AI for the enterprise from Mumbai and Kolkata. Ten solutions, and custom builds held to the same standard.
- Evidence, not assertion
- A human on the gate
- Your cloud, your data
- Auditable by design