Enterprise / legal · Enterprise · 300+ people

An in-house LLM that answers from your documents, with nothing leaving the company

The model runs on your own servers so staff can ask about contracts, policies and internal manuals — each person seeing only what they are allowed to

Work arrivesStaff cannot find documents on the shared drive and ask each other in chat all dayThis is where the old way starts
The AI agent does itThe AI agent does itA private LLM on internal servers with RAG over company documents answers with a page reference, and only sees files the user has rights to
A person decidesA person approvesLegal answers are always a draft — legal signs off before anything goes outside · every question is logged and auditable
Result-60%Time spent finding documents

Example: Private LLM in-house

LIVE DEMO

1 · Work arrives

Staff cannot find documents on the shared drive and ask each other in chat all day

2 · The AI agent does it

  • A private LLM on internal servers with RAG over company documents answers with a page reference, and only sees files the user has rights to
  • Agents on top of it draft standard documents, summarise new contracts and warn legal about upcoming deadlines
  • Connects to Open-source LLM (on-prem)
  • Connects to RAG + vector DB

3 · You just approve

Legal answers are always a draft — legal signs off before anything goes outside · every question is logged and auditable

Approve in one click

Result

-60%

Time spent finding documents

-60%

Time spent finding documents

measured on a 40-person pilot

0

Data leaving the company

the model runs on your own servers

-45%

Repeat questions to legal

within 2 months

Before · through 3 hand-offs, each waiting on someone free

Today

3 steps, all by hand
  1. 1Staff cannot find documents on the shared drive and ask each other in chat all day
  2. 2Using public AI raises real worries about confidential data
  3. 3Legal answers the same questions from every department

With keelz

2 steps
  1. 1A private LLM on internal servers with RAG over company documents answers with a page reference, and only sees files the user has rights to
  2. 2Agents on top of it draft standard documents, summarise new contracts and warn legal about upcoming deadlines

This is what you actually get

What your team sees every day once it is running — a person still approves anything that matters (One unit piloted in 6 weeks, then scaled)

Asking your own documentsRuns inside the company

Employee

A customer is asking about the warranty terms in contract 2417.

Internal assistant

Clause 7.2 gives a 24-month warranty, excluding damage from self-installation (source: contract-2417.pdf, page 6)

Answers from your own documents and always cites the page · nothing leaves the organisation

An illustrative example — the names and figures are invented so you can see the shape of the work; the real thing is built around your business.

Where people decide

Legal answers are always a draft — legal signs off before anything goes outside · every question is logged and auditable

What it connects to

Open-source LLM (on-prem)RAG + vector DBSSO / user permissionsExisting document store

One unit piloted in 6 weeks, then scaled

Other use cases

Want to know whether this fits your business? Book a free 30-minute call

No cost, no commitment — tell us how the work really runs and we will point out where starting pays off most

Free consultation

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