A confidential AI workspace for patent and IP attorneys

An invention that has not been filed yet is worth nothing once it leaks, and a public chatbot is a leak with a friendly interface. The moment a draft claim or a description of an unfiled mechanism is pasted into a US cloud service, you have handed a third party the one thing that was your client's edge.

You can keep that material on your side. What follows shows how patent and IP attorneys run a capable AI on hardware they own, so a sensitive prompt never leaves the building and the work still gets done.

Why a public cloud chatbot clashes with your work

Your value rests on confidentiality. A client hands you an invention before it is filed, and for that window it is unprotected. Paste it into a consumer chatbot and the text travels to a server you do not control, in a place you did not choose, under terms that can change. Some providers train on what they receive. Even when they promise not to, the data has already crossed your firewall, and you cannot prove to a client that it stopped anywhere.

Banning AI is not the answer, because it does not hold. Associates and paralegals already paste prior art summaries and draft language into whatever tool is open in another tab. A ban pushes that habit out of sight instead of removing it. The fix is to give the team an AI they are allowed to use, sitting where the data is supposed to stay.

Run the model in-house

With kral the platform runs on your own server. You can add a local model on your own hardware, so a prompt about a client invention goes to your machine and stops there, with no external API in the path. The text is processed in your building and the answer comes back the same way.

Most firms run a mix. A cloud model handles general drafting, research scaffolding and routine correspondence, where speed matters and nothing confidential is exposed. The local model handles the sensitive cases: unfiled inventions, draft claims, anything a client would not want outside the office. You decide which work goes where, matter by matter.

A full workspace, not a chat box

kral is a place your team works, not a single text field. Your people can build their own assistants in minutes with no code. One associate sets up an assistant that drafts claim language in your style, so first drafts read like your firm wrote them. Another builds an assistant that summarizes prior art you provide, turning a stack of references into a working brief. Save those as reusable routines and nobody rebuilds the same setup twice.

Drop a document into a chat and ask about it directly. Pull a current, cited answer from the web when you need outside context. Switch between the leading models in one click when one fits the task better than another. The sensitive work still routes to your local model.

Connect your own systems

An assistant is more useful when it knows your material. kral supports MCP, the open standard for connecting tools and data to an AI, so the assistant can work with your own templates and internal knowledge through a connector you control, instead of guessing from the open web. Your drafting conventions, your reference files, your house style: the model reads what you point it at. Your systems stay yours.

You run it and you see everything

You hold the controls. Manage who is in and which models each person can use. Set a spending limit per person so costs never surprise you. Watch real usage on a dashboard. Staff sign in with single sign-on. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding. For the wider picture, this is the same approach as company-wide AI you host yourself.

We help you put it in place

You do not have to do this alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across the firm without the data leaving your side. Implementation consulting is part of what we offer, so the platform ends up working and in your team's hands rather than sitting half-configured.

The choice is not AI or no AI. Your people already use it. The choice is whether the next unfiled invention sits on your server or on someone else's.

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