The AI your staff want to use, on systems your firm controls.
A private language model on a machine your firm owns, in your office. Your team chats with it, asks questions across your contracts and files, drafts and dictates, and each person sees only what their role allows. Software and setup start from $6,500, and we buy the machine for you at cost.
Your own AI, on your own machine
Your firm still gets its own written quote after the free review, and the final price is agreed in a signed agreement. These are starting points, so nothing in the quote is a surprise.
Software and setup on a machine you own
from $6,500
The machine itself
We specify and buy it at cost. A complete AI workstation is typically about $7,500.
at cost
Care plan, optional
$400 a month
US dollars, October 2026. Monthly plans are month to month. Prices shown are starting points. Larger builds are quoted per project, and the final price and payment terms are set out in your signed agreement.
What owners tell us before they call
My staff are pasting client files into ChatGPT.
We pay per seat for five different AI subscriptions.
Our auditors and our clients ask where the data goes.
We want AI, but we are a law firm.
In plain terms.
In most offices somebody has already pasted a client document into a consumer chat window to get a summary, usually the most conscientious person, trying to get the work done. Blocking the site moves it to a phone. Giving them a better tool that the firm controls settles it.
This is that tool. Staff chat with it, search across your own files, draft and dictate, and access follows roles, so an associate and a partner see different folders. On a machine in your office, a document goes from a desk to a box down the hall and back. In your own Azure, AWS or Google account, it stays inside a tenant your firm owns, under your own contract with that provider. Either way there is a clear answer for a client who asks where their data goes.
It works best with a written AI use policy: which tools are approved, what data may go into them, and who to ask. We write that policy with you and train your staff on both. An office machine is bought once rather than rented per seat, and the field notes work through the numbers line by line, including the cases where subscriptions are the better buy.
Where the line is.
The line around your office, or around your own cloud account, is the product. Everything of value happens inside it, and the route out is drawn up to the wall so you can see it stop.
Drag the drawing sideways to see all of it.
- The signal, it holds: the office boundary, and the document and the answer moving inside it
- Red, it breaks: the route out to somebody else's server, stopped at the wall
How a project runs, in order.
A written quote before anything starts, and you watch it work on your own data before it goes live.
- 01 / 04
A free AI review
Thirty minutes on how your team uses AI today, how many people would use a private tool every day, and whether an office machine or your own cloud account suits you better.
- 02 / 04
Built and sized for your team
Sized to your team and the model you actually need, then delivered and installed in your office, or set up in your cloud account. Either way, it is yours.
- 03 / 04
Set up with your files, your users, your roles
Document chat across your own material, accounts for your people, who can see what, and a backup that has been restored once in front of you.
- 04 / 04
Your staff and your admin are trained
Staff learn what to use it for and what the policy says. Your admin learns to add a person or reindex a folder without a support ticket.
Built from, for your technical lead
Open models on hardware you own or in your own cloud account, with document chat over your own files. We scope document access, application connections and any voice features around the selected models and hardware.
These are established projects and products, named so they can be looked up under their own names.
How we scope it.
The details that shape the plan and the price, set out before you call so the quote holds no surprises.
- 01
We size the model to your work. Open models handle drafting, summaries and search across your files well, and the quote names any task where a larger hosted model would do better, before you buy.
- 02
An office machine needs a spot with power, airflow and a network drop, and a ventilated closet is enough. Firms that would rather not house hardware use their own cloud account instead.
- 03
Software and setup start from $6,500. The machine is specified by us and bought at cost, and a complete AI workstation is typically about $7,500. The care plan is $400 a month and optional.
- 04
Keeping data on systems you control removes a whole category of risk. We give you a written description of where data lives and who can reach it, ready for your assessor, your insurer or a client questionnaire.
Firms we build this for.
Where we have a page written for your industry, the chip links to it.
- Law firms
- Accounting and audit firms
- Medical and dental practices
- Financial advisors and RIAs
- Government contractors handling controlled information
- Schools
- Family businesses with confidential pricing
More of what we build.
Four ways we put AI to work in a firm, and the systems work behind them.
AI that talks to your customers
An AI phone line and a talking website guide that answer from your own documents, day or night, and pass the details to you.
AI that does the work
Agents and integrations that take the retyping, the portal filings and the document intake off your staff.
Private AI
The AI your staff want to use, on a machine in your office or in your own cloud account, with access by role.
- Private AI (this page)
AI strategy and leadership
A written plan for where AI pays off, a policy your staff can follow, and a senior lead to keep it on course.
Systems that stay up
Live streams built to stay on air when a camera dies or the internet drops.
Start with a task from your business.
Show our engineering team the workflow and the applications involved. We agree a scope, access requirements and a practical next step before implementation.