The Problem
Cloud-hosted AI services require sending sensitive client data to third-party servers. For law firms handling privileged communications, healthcare providers managing patient records, and accounting practices processing financial data, this creates unacceptable data sovereignty risk under Canadian privacy legislation — PIPEDA, PIPA (Alberta), and PHIA (Manitoba).
The Solution
We deploy powerful open-source language models directly on your local infrastructure. Your data never leaves your building — no cloud dependency, no third-party data processing agreements, full control.
The Stack
- Ollama — Local model runtime for running LLMs on commodity hardware (GPU or CPU).
- Open WebUI — Browser-based chat interface your team can use immediately, with role-based access control.
- Qdrant — Vector database for retrieval-augmented generation (RAG) over your firm’s documents, policies, and case files.
- Docker Compose — Single-command deployment and updates across your server environment.
- Model Options — LLaMA, Mistral, Qwen, and other open-weight models selected for your use case and hardware.
Compliance Frameworks
- PIPEDA — Federal privacy law governing commercial organizations.
- PIPA — Alberta’s Personal Information Protection Act.
- PHIA — Manitoba’s Personal Health Information Act.
- Configuration includes prompt guidelines, IP controls, access policies, audit logging, and monitoring dashboards.
Deliverables
- Deployed local LLM environment with chat interface and RAG pipeline.
- Hardware specification and procurement guidance.
- Compliance configuration document mapping controls to regulatory requirements.
- Team onboarding session and prompt library.
- 30-day support window for tuning and optimization.
Ready to keep your AI private? Book a Discovery Call to discuss your firm’s requirements.