Use case · Legal
A sovereign AI platform for a leading law firm.
Case study: document intelligence on closed servers. No legal data leaves the building.
The brief.
No legal data leaves the building. Not for training, not for inference, not for storage.
Why it was hard.
Privilege first. Attorney-client privilege ruled out public AI.
Sovereign by rule. Data stays under full control, always.
No platform team. The firm needed a partner to build it.
What lawyers can do now.
01Classify and summariseDocuments sorted and summarised.
02Extract clausesKey clauses pulled out and compared.
03Search past mattersYears of files, searchable by meaning.
04Find precedentsRelevant prior work, surfaced.
Learning from the firm’s own work.
Models adapted on the firm’s own documents. Answers reflect its style and risk preferences.
Five phases.
1ServersClosed and isolated.
2DataIndexed in place.
3Private AILLMs and NLP, inside.
4PortalBuilt for legal work.
5LearningImproves from corrections.
Built with.
- Closed servers
- Red Hat OpenShift
- Private LLMs
- Custom NLP
- NestJS
- TypeScript
- React
Secured by.
- Encryption
- Role-based access
- Audit trails
- Data residency