On-premises AI
Your knowledge. Your environment.
AI for law firms, consultancies and professional businesses that need control over where their systems run and how information is used.
Private by design
Bring AI to
your business.
On-premises deployment places the core AI system in your own environment. We start with the work you want to improve, assess the infrastructure, and define which information the system can use.
From searching an internal knowledge library to producing a first draft, the aim is practical assistance within a clearly defined operating model.
Discuss a private AI deployment
Where it can help
Useful work.
Controlled access.
Search approved knowledge
Find information in approved precedents, policies, manuals and internal documents.
Summarise documents
Create a first-pass summary of longer records, with access to the source material for review.
Draft routine work
Prepare internal notes, correspondence and structured first drafts for a professional to check.
Support repeatable processes
Turn a defined intake, classification or document workflow into a consistent assisted process.
For the legal practice
A practical starting point
for a law firm.
Start with a selected library of approved precedents and internal policies. Give an authorised team a way to find relevant material and prepare first-pass summaries, with professional review before use.
A defined information boundary
Agree the documents, users and systems in scope before connecting data.
A controlled workflow
Set access permissions, review steps and an owner for the process. Outputs remain subject to professional verification.
An operating plan
Document local components, any external connections, retention, updates, backups and support responsibilities.
Deployment is a design decision
Choose the environment around your information, your workflows and the people responsible for them.
From assessment to operation
A scoped deployment.
A clear handover.
We assess hardware and network requirements, select an appropriate model, establish a small pilot, and agree acceptance criteria before extending the rollout.
Plan your deploymentQuoted for your environment.
Hardware, model requirements, installation, integrations, training and ongoing support are identified in the proposal. On-premises deployments are priced separately from hosted AI subscriptions.
Technology supportLet’s begin