ContactBook free analysis
Secure AI for law firms

On-premise AI for law firms — use AI without risking client confidentiality.

You run a firm where privilege is the product. A private AI keeps client data and attorney–client privilege inside your walls.

Book a free analysisSee pricing
On-premiseYou own it14-day money-back guarantee
The problem

Your associates are already pasting client files into ChatGPT.

ABA Formal Opinion 512 warns that self-learning cloud AI “by its very nature” risks improper disclosure of client information — and that boilerplate engagement-letter consent isn't enough. Florida Bar Opinion 24-1 permits generative AI only with real confidentiality safeguards. Rule 1.6 doesn't bend for convenience: the moment a paralegal pastes a deposition into a consumer chatbot, the disclosure has already happened.

Primary sources
The solution

You get a private AI over your own matters, in a chat window your staff already understand.

Private case-file & precedent search

Ask across every matter, pleading and exhibit the firm already holds. Answers name the document and page they came from.

Draft from your own work product

Motions, client letters and discovery responses drafted from your prior filings — in your firm's voice, not the open internet's.

Intake & matter summarization

New-client intake, deposition transcripts and 200-message email chains reduced to a one-page brief for the responsible attorney.

How it works

From analysis to a running system in your office.

01

You tell us where the hours go

A free 30-minute analysis. We say where a private AI pays for itself in your firm — and say so if it doesn’t yet.

02

You approve the build

You see the whole number before anything is ordered. The system is engineered to your workflows, not a template.

03

You get it installed

In your building. Encryption, SSO + MFA and audit logging, documented for your compliance file.

04

You stop thinking about it

24/7 monitoring, model updates and document-pipeline upkeep on one flat monthly plan.

What a build includes

A firm-wide index over the matters you already hold.

Your document management system, your precedent, your own work product — indexed on one appliance in your server room, behind the SSO you already run, logging every prompt to your log store. The control narrative is written against Rule 1.6 and handed over as part of the install.

See the law firms workload →
the opinion your controls answer to
ABA 512
bytes of client data leaving the firm
0
to change your mind, hardware included
14 days
Own it

One price to own it. 14 days to be sure.

One room
$12,000 – $24,000
+ $1,000–$2,500/mo
Whole floor
$32,000 – $56,000
+ $2,500–$5,000/mo
Every floor
Custom
monthly quoted with the build
See the full pricing →
14
days, money back
Every dollar — hardware included. Signed into the build agreement, not a footnote.
Compliance controls

Documented for your compliance file.

Encryption at rest
Full-disk encryption on every drive in the appliance. Keys held by you.
TLS in transit
TLS 1.3 between the chat client and the appliance. Nothing crosses your perimeter.
SSO + MFA
Binds to the identity provider you already run — Entra, Okta or Google Workspace.
Audit logging
Every prompt, document read and answer written to your log store. Retention is your policy.
Data never leaves
No outbound inference calls. Prompts, files, embeddings and outputs stay on the box you own.
Documented for your file
Control narrative, network diagram and configuration handed over as a PDF for your compliance binder.
On-premise is not, by itself, a compliance programKeeping inference in the building removes third-party-disclosure risk — the largest single item. You still need written policy, staff training and a current risk assessment. We hand over the technical control documentation; your counsel or compliance officer owns the program.
FAQ

Law firms — the questions we get asked.

Can lawyers use ChatGPT? →On-premise vs cloud AI for law firms: which fits? →
Can lawyers use ChatGPT?
Yes, with limits. ABA Opinion 512 and Florida Opinion 24-1 both allow generative AI where confidentiality is protected — which consumer ChatGPT does not do on its own. Entering client-identifying material into a self-learning cloud tool is the part that creates exposure. On-premise inference removes the third-party disclosure question entirely, because nothing leaves your network.
Are law firms allowed to use AI?
Yes. No bar authority prohibits it. What they require is competence in the tool, supervision of its output, informed consent where confidentiality could be affected, and fees that reflect the time actually spent.
What AI do most law firms use?
Most start with consumer ChatGPT or Copilot informally, then add a legal cloud tool — Clio Duo, Spellbook, CoCounsel. Every one of those is a cloud tool: the firm's data leaves the building. On-premise is the fourth option, and the only one where it doesn't.
Can AI be on premise?
Yes. Open-weight models — Llama, Qwen, Mistral — run on a single GPU server in your server room, behind a chat window that looks like the one your staff already use. That is what we build, install and maintain.

Thirty minutes, and you’ll know whether this is worth doing.

Sarasota · Bradenton · Lakewood Ranch · Venice · the Suncoast

Book your free 30-minute analysis