Local language models

Data sovereignty

Use local language models where sensitive, regulated, or commercially important data should stay inside controlled infrastructure.

Where this helps

Local language model work is most useful when the AI layer needs to respect real operational constraints: data location, predictable cost, internal permissions, domain language, and workflow fit.

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  • Keep prompts and source data inside your own environment.
  • Support internal search, summarisation, and drafting without sending raw data to external model APIs.
  • Design access controls around documents, roles, and audit expectations.