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SOVEREIGN DEPLOYMENT

Sovereign Deployment

The whole platform runs inside your perimeter. No prompt, no query, no document leaves your network.

Same platform · 60 jurisdictions · 150M+ case law · 20M+ legislation

Some matters cannot leave the building. Classified files, central-bank data, privileged client material: for these, a data-residency clause or a zero-retention promise is not enough, because the inference still happens on someone else's machine. Sovereign Deployment runs the same Nexus Legal platform, the same 60 jurisdictions, the same Cross-Audit (Node A produces, Node B audits adversarially) and anti-hallucination verification, entirely inside your own perimeter. The language model, the embedder, the reranker and the self-hosted vector store all run on your hardware, on an internal Docker network with no route to the internet by design, vendor telemetry off, models loaded from local volumes. The boundary is not a policy we ask you to trust, it is an architecture your own security team can audit. The whole stack is open-weight and built by us, the same components we run in production, not a third-party engine we resell, so there is no hidden external dependency. We proved it end to end on a zero-cost local build: query to embedding to rerank to grounded, cited answer, with zero external calls verified. Because it is a sovereign deployment, it adapts to each institution: it is implemented on your network, your GPU cluster and your isolation policy as an onboarding engagement, not activated from a billing panel. As part of that onboarding we validate the production language model against your own goldset before go-live. It is the fourth verifiable assurance in the same family as Zero Retention, Cross-Audit and anti-hallucination verification: here the assurance is the network boundary itself.

  • No egress by design: the stack runs on an internal Docker network with no route to the internet, vendor telemetry off, models loaded from local volumes, so prompts, queries and documents have no path off your premises. Auditable by your team, not just promised.
  • Inference inside your perimeter, not just storage: the model itself runs on your machines, closing the seam where cloud vendors keep model calls outside your jurisdiction.
  • Built by us, not resold: a self-hosted stack of open-weight LLM, embedder, reranker and self-hosted vector store, the same components we run in production, with no external vendor in the chain.
  • The same product, not a stripped offline copy: 60 jurisdictions, Node A / Node B Cross-Audit and anti-hallucination verification all carry over unchanged in sovereign mode.
  • Proven end to end, not slideware: the full local pipeline (LLM, embedder, reranker, RAG) has been run with zero external calls, retrieving and citing real statute on a live corpus.

Stated plainly

This is a bespoke sovereign implementation, not a self-serve account toggle or a one-click installer. It is configured per project during onboarding, runs on hardware the institution provides (a GPU cluster in your own data center, we do not supply production hardware), and is adapted to each client's network and isolation policy. Two limits we state plainly. First, the production language-model quality is validated against your own goldset as an onboarding step, with a named sovereign client, so we do not claim large-model quality parity before that validation runs. Second, the self-hosted data layer for auth and audit is finalized per deployment rather than shipped as a fixed binary. Note also that this is a distinct deployment mode: our standard cloud product uses externally hosted models and is not air-gapped. Only Sovereign Deployment keeps the data inside your perimeter.

Talk to us about a sovereign deployment for your institution and security policy.

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