Industry
Sovereign AI for law firms
AI over privileged material that never leaves your firm, owned, private, and trained on your matters.
By James Drayson
In short
Sovereign AI for legal is an AI model a firm owns and runs inside its own perimeter, trained on its precedents, contracts, and playbooks, so privileged client material never passes through a third-party API. It delivers legal-grade confidentiality that hosted, general-purpose tools cannot guarantee.
The confidentiality problem
Legal work is built on privilege and confidentiality. Sending matter documents to a general-purpose AI API means privileged material is processed on someone else's infrastructure, under their terms, often in another jurisdiction, an unacceptable exposure for most firms and clients.
Why public APIs fail here
- Privilege risk: Transmitting privileged documents to a third party can undermine confidentiality protections.
- No ownership: You can't audit or control a hosted model that processes your most sensitive matters.
- Generic reasoning: A general model doesn't know your precedents, house style, or risk posture.
What owned AI enables for firms
- In-perimeter or air-gapped: Every inference stays inside the firm; deploy air-gapped for the most sensitive work.
- Trained on your matters: A model post-trained on your contracts, precedents, and playbooks reasons like your firm.
- Owned and auditable: You hold the weights and the audit trail, supporting client and regulatory assurances.
What this looks like with Locai
In a regulated sector the hard part is rarely the technology; it is procurement, deployment and accountability. A single owned machine simplifies all three.
Locai Labs builds Locai One, an on-prem AI appliance. It is one machine that arrives with everything already in it: the hardware, our open-weight Locai Juno models, and Locai OS, the operating system that serves the models and handles users, access and monitoring. You plug it into a mains socket and your network, and your team is working in about 15 minutes. No cloud account, no per-token bill, and nothing leaving the building.
The reason a data-centre-class model fits in a box on your floor is SPACE, our compression algorithm. Instead of asking how much of a model can be cut while keeping it broadly similar, SPACE asks what the model needs to be good at, preserves the subnetworks behind those capabilities and strips back the rest. The result is a smaller specialist rather than a shrunken generalist, tuned to the exact hardware it ships on.
Locai One starts at £29,950 for a team, and Locai One Pro at £49,950 for an organisation, bought once and owned outright. Both run air-cooled on standard mains power and work fully air-gapped. Any compatible open-weight model runs alongside Juno, and if you need a model trained on your own proprietary data we can post-train one and deploy it on the same machine.
Frequently asked questions
Is legal AI confidential?
Only if the data stays inside your control. A sovereign, in-perimeter model keeps privileged material in the firm; a hosted API sends it to a third party.
Can AI handle privileged documents?
Yes, safely, when the model runs inside your perimeter (or air-gapped) and you own it, so privileged material never leaves your environment.
How is this different from tools like Harvey?
General legal-AI tools typically run on hosted cloud APIs. Locai gives you a model you own and run privately, trained on your matters, so confidentiality and IP stay with the firm.
Can it run on-prem?
Yes, on-prem, air-gapped, in your private cloud, or in a UK sovereign cloud, whatever your confidentiality requirements demand.
Book a sovereign AI briefing
A 30-minute session on owning your model: deployment options, the data path, and a clear cost range for your use case.