On-premise AI for confidentiality-bound firms

Use AI on your client files.
Without sending them to anyone.

Your team wants AI to search contracts, summarize discovery, and catch deadlines — but pasting privileged material into ChatGPT or Copilot hands it to a third party, against your duty of confidentiality and most client NDAs. A Private AI Vault runs entirely on a machine your firm owns: you get the AI, the data never leaves the building.

Book a free 20-minute assessment → No cost · no obligation · NDA on request
  • 100% on-premise
  • Zero cloud inference
  • NDA + BAA signed
  • Works offline

The problem with cloud AI for lawyers

ABA Model Rule 1.6 binds you to protect client confidences. Putting privileged documents into a third-party AI cloud means a vendor — and anyone who can subpoena or breach them — can reach your client's data. Many firms have simply banned staff from using ChatGPT on client matters, which leaves your most sensitive, highest-value work with no AI at all.

What it does

An assistant that reads your documents — and cites every answer

Drop your files in — contracts, case files, NDAs, discovery, depositions — and your team asks questions in plain English. Every answer points back to the exact source document.

Cross-document clause review

“Which active contracts auto-renew, and what's the notice deadline?” — answered across hundreds of files in seconds.

cited → 3 agreements · §Renewal

Deadline & docketing

Pull every date, statute-of-limitations, and renewal window out of a matter folder — nothing buried on page 40.

cited → Matter 04 · dates

Issue-spotting

Surfaces clauses worth a second look — e.g. a non-compete that may be unenforceable in your jurisdiction — for a human to decide.

cited → Empl. Agmt · §7

Summarize & draft

First-draft summaries of long documents, intake memos, and deposition digests — with the source line for every claim.

cited → 60-pg dep · summary

It's an assistant, not a lawyer: it finds, summarizes, and flags — your attorneys keep judgment and sign-off.

The privacy guarantee — in writing

  • The AI model and the search index run 100% on-premises. Localhost-only by design — it works with the network cable unplugged.
  • Zero cloud inference. No API keys, no per-query data leaving, no training on your data, no vendor to subpoena or breach.
  • Each client or matter can be an isolated vault — walled-off, separate indexes.
  • NDA and BAA signed before anyone touches a file.

Who it's for

Firms where confidentiality isn't optional — typically 5–30 attorneys whose clients require data to stay off third-party AI. If you're comfortable pasting matters into cloud AI, you don't need this; it's built for firms that can't.

Engagement & pricing

Setup (one-time)
$6,000 – $12,000 — install, ingest your documents, configure your workflows, train your team. Fixed scope, fixed price.
Care & Feeding
$600 – $1,800/mo — updates, re-indexing new documents, monitoring, tuning, one new automation per quarter.
Hardware
Runs on a single quiet workstation (~$3–6k, one-time) or your existing server.

No per-seat fees. No usage metering. No surprise cloud bills — because there is no cloud.

Why me

I'm a privacy-first engineer who runs this exact stack daily — local AI models, encrypted storage, zero-telemetry tooling. I don't resell someone else's API; I build on-premise systems where your data staying yours is the entire point. Start with a no-cost assessment of where your firm is currently exposing data to cloud AI — then a live demo on documents you choose, on a machine you control, with the Wi-Fi off.

— MacadamiaButter, Local First Lab

See it work on documents you choose

A 20-minute call, then a live demo over a sample folder — Wi-Fi off, so you can watch nothing leave the room.

Or email meltedrubberducky@proton.me.