Open-source LLMs for government & public sector
Agencies use open models for citizen services, case-work summarisation, policy research and records management under data-sovereignty rules.
Where government & public sector teams use language models
- Citizen-services assistantlow risk
Benefits, permits, forms, multilingual
- Case-file summarisationhigh risk
Social services, immigration, licensing files
- FOI / records request processinghigh risk
Find, redact and summarise responsive records
- Policy & legislation researchlow risk
Compare statutes, summarise consultations
- Procurement & tender evaluation supportmedium risk
Summarise bids against criteria
- Form & document digitisationmedium risk
Extract data from paper submissions
- Multilingual communicationlow risk
Translate notices and correspondence
- Drafting support for legislation & regulationsmedium risk
Consistency and plain-language checks
- Internal IT & HR helpdesklow risk
Policies, systems, onboarding
Sovereignty and classification come first: the playbook asks what data classification applies and whether the deployment must be air-gapped.
Frequently asked
Can open-source LLMs run fully air-gapped?
Yes. Download the weights, inference server and dependencies on a connected machine, transfer them by approved media, and run on isolated GPUs. Nothing in the stack requires internet access at runtime.