Your data. Your servers. Your AI.
Your confidential data stays on your servers. AI that searches your documents, gives cited answers, and never sends a byte to the public internet.
Your firm’s knowledge is trapped.
Precedents buried in emails. Policies scattered across shared drives. Expertise locked in the heads of senior partners. Every new hire spends months learning what the firm already knows.
Meanwhile, ChatGPT makes things up. You cannot send client data to it. And it does not know your business.
“We tried ChatGPT but it doesn’t really do what we need. It makes stuff up and we can’t put client data into it.”
Operations partner, mid-tier law firm
LexisNexis 2026 Australia AI Survey: accuracy, confidentiality, and bias are the top three concerns for Australian legal practitioners. 77% of small businesses using AI have no written AI policy.
Sources: McKinsey Global Institute, Thomson Reuters 2026 Report. Professional services workers spend 19.8% of time searching for internal information.
A junior lawyer spends two hours searching for a precedent. A RAG system finds it in three seconds with a citation.
At $400 per hour, that is $800 saved on a single query. Multiply by 20 queries a day across 10 staff. The system pays for itself in weeks, not years.
Your data stays yours. Full stop.
We deploy on your infrastructure. Documents are encrypted at rest and in transit. Nothing touches the public internet. For law firms, this means client privilege is preserved. For financial advisors, your AFSL obligations are met.
Every answer is traceable.
Full audit trails log every query and every response. Answers cite source documents by paragraph. ASIC flagged AI governance as a top-10 systemic risk for 2026. Our systems are built for that scrutiny.
We have built this before.
On-premise deployment
Data stays on your servers. No third-party access. No cloud dependency.
Full audit trails
Every query logged. Every answer cited. Compliance-ready from day one.
You own the system
No licensing fees. No vendor lock-in. Your AI, your infrastructure.
Published pricing. No “let’s scope it” games.
Enterprise AI consultancies charge $60K to $500K for RAG systems. We build the same thing for a fraction.
Knowledge Base
From $12,9791-2 weeksInternal document Q&A for your team.
- Private document search (PDF, DOCX, email)
- Cited answers from your data only
- Vector database setup and optimisation
- Hallucination prevention guardrails
- 30 days post-launch support
Client-Facing AI
From $19,9972-3 weeksAI your clients interact with directly.
- Customer-facing AI chat interface
- Guided workflows and intake automation
- Multi-source document ingestion
- Brand-matched UI and tone of voice
- Analytics dashboard and usage tracking
Enterprise RAG
From $34,9973-5 weeksFull-scale AI across your organisation.
- Multi-source ingestion (databases, APIs, documents)
- Role-based access controls
- Compliance logging and audit trails
- On-premise or private cloud deployment
- Custom model selection and fine-tuning
50% upfront, 50% on delivery. All builds include testing with your real documents. Ask about enterprise scoping.
Four steps.
Tested on your data.
Every project is led by our founder, Chris Raad. Built Course Companion (RAG tutor) and Equal Legal (AI document generation). The person who scopes it is the person who builds it.
Discovery and scoping
We review your documents, data sources, and workflows. You get a detailed scope document before any money changes hands.
Ingest and configure
We build the document ingestion pipeline, set up the vector database, and configure the AI model with guardrails specific to your industry.
Test with real data
We test with your actual documents. Not dummy data. You see real answers from your own knowledge base before launch.
Deploy and monitor
Launch on your infrastructure. 30 days of post-launch support included. Optional ongoing maintenance from $497/mo.
Common questions.
Your firm’s knowledge, accessible to everyone, 24/7.
15 minutes. We will walk you through how private AI works on your data, on your servers, with full audit trails.