A confidential AI workspace for notaries

A deed on your desk holds names, assets and signatures meant for the parties and no one else, least of all a public cloud. The moment a clause gets pasted into a public chatbot, that record leaves the building and lands on a server you do not control, in a jurisdiction you did not choose.

You do not have to make that trade. A capable AI can sit on your own hardware, inside your own walls, working on the same deeds your staff handle every day, with the sensitive details going to your machine and stopping there.

Why a public cloud chatbot clashes with notaries and their records

A notarial file is a concentration of exactly the data people guard most closely: full legal names, property and asset values, family relationships, identification details, signatures. A public chatbot takes whatever you type, sends it to a company's servers (usually in a US cloud), and may keep it. You cannot see where it goes or who reads it. For a notary, that is the wrong place for a draft of a power of attorney or the details of an estate.

Banning AI outright does not solve this. Your staff already use it, on their phones, on personal accounts, on the browser tab next to your case management system. A ban just pushes that usage out of sight, which is worse. The honest answer is to give the team a tool that is at least as good, and put it somewhere safe.

Run the model in-house

With kral the whole platform runs on your own server. You can add a local model on your own hardware, so when someone types a prompt about a named party, that text goes to your machine and stops there, with no external API anywhere in the path. The deed never crosses your firewall.

Most offices run a mix. They point general work (rephrasing a clause, drafting a neutral letter, answering a procedural question) at a strong cloud model, and they route the sensitive cases (anything with real parties, real assets, real signatures) to the local model that never leaves the building. You decide which work goes where.

A full workspace, not a chat box

This is more than a single text field. Your team can build their own assistants in minutes with no code. One assistant can draft standard instruments in your house format, so every deed comes out structured the way your office writes them. Another can read a file and summarize it before signing, so the notary walks into the appointment already briefed. People save reusable routines, which means nobody rebuilds the same setup from scratch every week. You can drop in a document and ask questions about it, pull a current answer from the web with citations when you need an outside fact, and switch between the leading models in one click depending on the task.

Connect your own systems

kral supports MCP, the open standard for connecting tools and data to an AI. That means the assistant can work with your own templates and your internal knowledge through a connector you control, instead of guessing from the open web. Ask it to draft using your standard wording and it draws on your actual library, not a generic version of it. Your systems stay yours, and the connection runs on your terms.

You run it and you see everything

You manage who is in and which models each person may use. You set a spending limit per person, so costs never run away from you. A dashboard shows real usage as it happens. Single sign-on keeps access tidy. It installs on Windows Server behind IIS, sits inside your network behind your firewall, and wears your own branding. Nothing about it is a black box you rent from someone else. If you want the wider picture of running this kind of thing yourself, read about company-wide AI you host yourself.

We help you put it in place

You do not have to figure this out alone. We set kral up with you, connect it to your systems, and advise on rolling AI out across the office without the data leaving your side. Implementation consulting is part of what we offer, so the move from a public chatbot to your own server is something we walk through together.

Your clients trust you to keep their most private affairs inside the room. Give your team a capable AI that respects the same boundary, on hardware you own, under your control.

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