On-premises and air-gapped AI
Every serious protective order in a patent or trade-secret matter forbids sending the protected material to a cloud service. There is a way to have modern AI-driven document analysis without breaking that. We build it.
Illustrative image — actual case work is confidential.For firms — on-premises inference and RAG
We deploy a retrieval-augmented search system that runs on your firm’s own hardware:
- Local, current models on a client-side GPU
- Vector-embedding indices built from your own case corpus, kept on your hardware
- Retrieval pipeline that a lawyer can actually query in plain English, with citation back to Bates numbers and page ranges
- Multi-model orchestration: a strong reasoning model plans, a smaller execution model runs, and deterministic rules gate what the user sees
No API keys. No third-party inference. No data leaving the building.
For cases — air-gapped analysis on site
For a specific matter — especially source-code review under protective order — we deploy the model and the index to a single physical machine at the client’s premises or a controlled facility, with no external network.
- Privileged discovery review
- Source-code review under protective order
- Sensitive-document classification
- Timeline extraction from mixed-format productions
All writeable media are controllable and can be securely archived or destroyed after export of findings.
Foreign-language discovery translation
Machine translation of foreign-language productions with a full audit trail, running on client hardware. Nothing goes to a cloud translator.
Privilege log audit
Hand us the opposing side’s privilege log. You’ll get back an audit of internal inconsistencies, over-broad withholdings and probable non-privileged material — with the citations to back each finding.
What the deliverable looks like
- A briefing — what the model found, in the format your team already uses
- A citation trail — every claim ties back to a Bates-numbered page or a specific file in the production
- A short technical description — what model we used, what index we built, what safety checks we ran, so opposing counsel and the court can evaluate the methodology