NorthHaven AI installs open-source AI models and a private knowledge base on your own server — in your office or your private cloud. Your staff can chat with your documents, draft faster, and find answers in seconds. Your client files never leave your control.
Everything runs inside one boundary: your network.
Your files are not uploaded, not used to train anyone else's model, and not visible to an outside vendor.
Free and cloud AI tools are useful — until a client file, a medical note, or a tax return leaves your control. Compare the two ways to give your team AI:
Staff paste or upload work into an outside service.
The same kind of help — running on equipment you control.
We handle the technical work end to end — hardware, models, setup, and training — so your team just opens it and starts asking questions.
We install and tune an open-source large language model on a server in your office (or your private cloud) and connect it for your team.
Your documents become a searchable AI assistant. Ask a question, get an answer with the source file attached — no digging through folders.
Once the basics work, we automate the repetitive parts — intake summaries, first drafts, routine Q&A — and train your team to use them well.
If your clients trust you with private files, “we pasted it into a cloud chatbot” is not a policy. These are the firms we deploy for first:
Case files, contracts, and discovery stay privileged — and stay in-house.
Patient information never leaves your practice network.
Client financials are the last thing that should sit on someone else's server.
Also a fit for insurance agencies, wealth advisors, and any New Jersey business that handles confidential client records.
This is an illustration with sample content, not your data. Pick a question a team like yours asks every week, and see the kind of sourced answer your private system gives.
In a real deployment, answers come only from your files, on your server — and staff can open the cited source to verify before they act.
No big-bang project and no leap of faith. You validate the system on your real work first, before you commit to a full deployment.
We visit (or video-call), look at your documents, network, and hardware, and agree on exactly what the AI should — and should not — do.
We stand up a working pilot on a small, agreed set of documents. Your team uses it on real tasks and tells us honestly if it earns its keep.
Full rollout on your server: all agreed folders, staff logins, permissions, and audit logging — tested with you before go-live.
Hands-on training for your team, a plain-English admin guide, and ongoing support as models and your needs improve.
Governments and large companies now use this term for AI they control themselves. The same idea, sized for a small firm, is what we install:
“Our AI runs in this building, on our server, on our files. A client's information has never left this office.”
No — that's the point of the deployment. The model and your knowledge base run on your server, and questions and documents stay on your network. If you prefer a private cloud you control instead of a physical server, we can deploy there with the same principle: your account, your keys, your rules.
Once installed, the system runs locally and can work without the internet. Internet is only needed for setup, updates, and any outside tools you explicitly approve.
Leading open-source models, chosen for your hardware and your work — for example, strong general models for drafting and Q&A, and specialized options where they help. Because the models are open-source, you're never locked to one vendor, and upgrades don't require a new subscription.
Many small firms start on a single workstation-class machine with a capable graphics card. In the assessment we check what you already have, recommend the minimum that will feel fast, and tell you plainly if you don't need to buy anything yet.
It depends on your hardware and scope, so we quote a fixed price after the free assessment — starting with the fixed-scope 1-week pilot, so you can judge the value on real work before committing to a full deployment. There is no per-seat cloud AI subscription on top.
That's normal, and it's who we build for. Staff use a simple chat screen in plain English. We train your team in person, leave a short admin guide, and stay available for support.
Tell us a little about your firm and what you'd want AI to help with. We'll reply with next steps and a time to talk — no pressure, and no jargon.