Fat Tailed Solutions
For law firms, clinics & fiduciaries that can't ship data to the cloud

Your firm's AI, on hardware you own, in the office you lock at night.

A turnkey on-premise AI workstation: private document search, transcription, and drafting over your files — nothing leaves the building. Installed, configured, and maintained for you.

Reserve an install weekFixed-fee install. 50% deposit reserves your install week.
Production pathFounder reviewedSpecific follow-up

Local AI that starts with boundaries, not novelty

Privacy-bound teams need an install plan, data map, approval gates, and a boring rollback path before tools touch client work.

Data mode
Local
privacy-first install
Workflows
Scoped
one office loop first
Review
Human
no silent autonomy
Source map

Which files, systems, and workflows are in scope before anything is indexed.

Office workflow

A single assistant loop tied to real staff work, not a generic chatbot.

Runbook

Install, operate, stop, and rollback steps are part of the deliverable.

Proof before pitch

Local AI that starts with boundaries, not novelty

Privacy-bound teams need an install plan, data map, approval gates, and a boring rollback path before tools touch client work.

Source map
Which files, systems, and workflows are in scope before anything is indexed.
Office workflow
A single assistant loop tied to real staff work, not a generic chatbot.
Runbook
Install, operate, stop, and rollback steps are part of the deliverable.
No broad upload
Private material stays out of third-party AI unless explicitly approved.
Permission boundary
Users, folders, and actions are narrowed before deployment.
Audit trail
The office can see what the system touched and why.

You're locked out of AI for good reasons

  • Client files, PHI, and privileged documents cannot legally or ethically go to consumer AI tools.
  • Your staff pastes things into ChatGPT anyway — that's your real exposure today, not hypothetically.
  • Enterprise 'private AI' contracts start at six figures and still route data through someone's cloud.
  • IT consultants sell hardware; nobody delivers a working, maintained AI workflow.

What you get

  • A configured AI appliance (Mac-based) running entirely on your local network.
  • Private semantic search across your document store — ask questions, get cited answers from your files.
  • Local transcription for dictation, meetings, and client calls — audio never leaves the machine.
  • Drafting assistance grounded in your own precedents and templates.
  • Quarterly maintenance, model updates, and a support line to the engineer who built it.

How it works

  1. 1

    Scoping call

    Your document volume, workflows, and compliance rules — 30 minutes.

  2. 2

    Install week

    We deliver, configure on-site or remotely, index your documents, and train your team.

  3. 3

    Owned, not rented

    Your hardware, your data, your AI. We keep it updated; you keep the control.

Turnkey install
$4,900 install + $490/quarter care plan

50% deposit reserves your install week, balance on delivery. Hardware billed at cost. Care plan covers updates, tuning, and support — cancel anytime.

4 installs per month
Reserve an install week
Embedded requestPersonal replyBackup form

Reserve an install week

Tell us about your firm and what you'd want AI to do if privacy weren't a blocker.

Optional, but useful.

Tell us the context, the workflow, and what would make this worth your time.

Backup Google Form
What to put in the note

Skip the pitch. Tell us the live situation: what happens today, where it breaks, and what would prove this belongs in your workflow.

Current state
Tools, volume, team, or workflow as it works today.
Where it breaks
Missed calls, slow searches, manual rework, risk, or revenue slipping away.
First useful proof
The one result that would make you say: yes, keep going.
You’ll get back

A straight fit/no-fit read, a small first move, and the evidence we’d use to judge whether it worked.

Keep it safe

No client files, passwords, private matter facts, or account access in the first note. Rough context is enough.