LDIP · Legal Document Intelligence Every executed contract, read once and findable forever.
- Evidence-based extraction
- Audit-ready
- Fuzzy search
Roughly 20 fields extracted from every executed instrument, each with a confidence score and a page citation, then filed in a fuzzy-searchable archive.
- ~20 fields, cited
- Every extracted value linked to its source page
- Confidence-gated
- Values below threshold go to a human reviewer
- Fuzzy search
- Find any document, even with a typo or partial match
Why LDIP
A folder tree or a keyword index. Both lose the document.
Approach A
Shared drive folders
Documents sit in a folder tree, filed by whoever uploaded them. Finding one means remembering the exact file name — no field, clause or date can be queried directly.
Approach B
Legacy DMS or keyword search
A document management system (DMS) indexes file names and exact text. Miss a spelling or a synonym, or hit 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 one click away.
How it works
How LDIP runs.
/ 01
Ingest
Scanned, handwritten or digital documents, preprocessed and run through OCR.
/ 02
Extract
Classified into one of five types, with each field extracted alongside a confidence score and a page citation.
/ 03
Verify
Anything below the threshold goes to a human reviewer; the original value is always kept.
/ 04
Approve
A retrieval-grounded compliance check, then two-stage sign-off before delivery.
/ 05
Store & search
Filed in a tagged, fuzzy-searchable archive with a full audit trail.
See it on your own data
Watch LDIP work on a real use case, in a 30-minute live demo.
Free. Then a scoped proof of concept at no cost, before you commit.
At a glance
LDIP against the usual approaches.
Every field cited to its source page
- Shared drive
- —
- Legacy DMS
- —
- LDIP
- ✓
Confidence score on every extracted value
- Shared drive
- —
- Legacy DMS
- —
- LDIP
- ✓
Fuzzy keyword and tag search across the archive
- Shared drive
- —
- Legacy DMS
- ✓
- LDIP
- ✓
Five agreement types on one pipeline
- Shared drive
- —
- Legacy DMS
- ✓
- LDIP
- ✓
Two-stage human approval before delivery
- Shared drive
- —
- Legacy DMS
- —
- LDIP
- ✓
Full audit trail behind every decision
- Shared drive
- —
- Legacy DMS
- ✓
- LDIP
- ✓
✓ delivered · — not addressed.
What you get
Outcomes you can hold us to.
Every field extracted with a confidence score and a citation to the source page
Low-confidence values routed automatically to a human verification queue
Retrieval-grounded compliance analysis against your reference library
Two-stage review and approval before a report reaches the client
A tagged, searchable archive of every executed document, with fuzzy matching on keyword or tag
A full, append-only audit trail behind every extracted value and every decision
Built for
- Corporate legal & contracts
- Compliance & risk
- Banking & trade finance
- Real estate, tax & regulatory affairs
Industries
- Banking & trade finance
- Real estate & property
- Legal & compliance
- Tax & regulatory
Works with
- OCR
- Retrieval-grounded checks
- Tagged archive
Free demo and no-cost proof of concept
Send one agreement type and see it extracted, cited and searchable.
One agreement type · your sample set · no cost
The scope
- You pick one agreement 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
You provide
- A sample set of one agreement type (redacted is fine)
- The fields your team needs from each document
- A reviewer who can calibrate the confidence threshold
You get
- 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 was routed to human review, and why
FAQ · Deployment, data and cost
What buyers ask before they commit.
Have a question that is not answered here?
01What 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.
02What happens when the model is not 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.
03Why does fuzzy search matter?
Because exact-match search is where a legacy DMS fails. A misspelling, synonym, partial party name or OCR misread returns nothing in a keyword index; fuzzy keyword and tag search still finds the document.
04Can 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.
05Where does it run?
In your environment or ours, as your legal and compliance teams require. Executed instruments never have to leave your boundary.
06What can it change without us?
Nothing reaches a client without two-stage human sign-off, and anything below the confidence threshold is routed to a reviewer before that.
07Is our data used to train models?
No. Executed agreements are privileged and confidential. They are processed for your archive only.
08What does it cost after the sample set?
The first agreement type is free as a no-cost proof of concept (PoC). Production is priced per document or per annual volume — scoped on the call.
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Put your next executed agreement on record.
Book a free demo of LDIP, or scope a no-cost proof of concept (PoC) on your own data. A senior engineer replies within one business day.