The public lane
OpenAI · ChatGPT · Claude · Gemini. For general drafting, research, writing, anything safe to send to a public API. NOT for claims, PHI, PII, estate docs.
Keep paying for it. It's fine for the safe stuff.
Private, on-premises AI
A local AI system that runs in your office, tuned to your documents, so your team can finally use AI on the work that's too sensitive for the cloud. Nothing leaves. Nothing trains. A human decides.
The gap
You're not going to stop paying for your general AI tools. You're going to stop putting data into them that you're not allowed to put there. That's the whole point.
OpenAI · ChatGPT · Claude · Gemini. For general drafting, research, writing, anything safe to send to a public API. NOT for claims, PHI, PII, estate docs.
Keep paying for it. It's fine for the safe stuff.
PrivateLane · local · in your office. For claims, policyholder PII, medicals, underwriting; estate, trust, and net-worth documents; cited, reviewable output — human decides.
For the work that has to stay in your building.
How it works
We deploy, connect, and tune — remotely. Your only job is to point us at your documents. A few weeks later, your team is using AI on the confidential work.
A standardized private-AI system, installed in your office on your network. One image, one config — no bespoke build.
Documents, files, and the systems you already use — via a fixed set of standard connectors, done remotely as part of setup.
The workflow, the structured outputs, the citations, the permissions — shaped around your actual documents and your team.
Monitored, updated, and supported. You get a working system and a person to call when it's wrong — not a ticket queue.
See it work
Click a question your team actually asks. Every answer comes back with the source, the confidence, and a human-review line — because 'AI drafts, human decides' is on every single output.
Sample client file loaded (anonymized): trust agreement, will, two policies, net-worth statement, advisor memo.
The four guarantees
Walk into the conversation with the answers already in hand. This is what turns 'cool demo' into 'let's pilot.'
Your documents and queries never leave your premises. No external API, no third-party server.
Your files are not used to train any model, ever.
AI drafts; a person reviews and owns every output. This is by design, on every answer.
Every query and answer is logged with its source citations — a trail your risk and compliance team can review.
The questions you'll hear
We can just buy the hardware and do this ourselves.
You can. The box is the easy part. The hard part is turning it into a safe, useful, workflow your team will actually use — integration, citations, permissions, audit, governance, support. We sell that outcome. You can buy the hardware and build it, or lease a working system where we handle it.
We already pay OpenAI a significant amount. What's the point?
It doesn't replace OpenAI — and it shouldn't. Keep it for the general work. This is the private lane for the data you're not allowed to send to a public API. Your existing AI spend is proof you believe in it; this is where you can use it on the sensitive stuff.
There's encrypted AI that can't read our data. Why is this better?
Encryption keeps the vendor from reading your data. But if the AI can't read the right data in the right workflow, it can't do the job. We're not selling just a privacy feature — we're selling private productivity: the workflow, the citations, the audit trail, and someone accountable when it's wrong.
Plans
Everything from hardware to support — deployed, tuned, monitored, updated. No capex, no stranded box, no project.,
Single office / principal
For a single office or principal who needs private AI on confidential documents.
Book a demoFirm or agency team
For a firm or agency team that needs shared access, citations, permissions, and a clear review workflow.
Book a demoMultiple offices / high volume
For multiple offices or high-volume confidential work that needs monitoring, support, and a consistent audit trail.
Book a demoStart a pilot
A pilot on a sample client file you choose. You watch it work on the real thing. If it's not obviously useful, you walk and you've lost nothing but a conversation.