StorSak — the Norwegian Storting's AI-Assisted Digital Value Chain for Parliamentary Case Files

In 2019, the administration of Norway's Storting (parliament) adopted a strategic digitalisation goal: to exchange, process, publish and preserve parliamentary information digitally rather than on paper. This gave rise to two linked programmes — SIDA, covering the administration's internal document culture, and StorSak, which targets the parliamentary case-handling process itself, from a case's receipt through committee review, plenary debate, decision and dispatch.

One investment area within StorSak is the use of machine learning for what the project calls 'theme-setting' (temasetting): automatically classifying cases and documents by subject and using predetermined criteria to decide which steps of a case must be preserved as files or metadata in the parliament's archive. Described by Stortinget's own archival staff as the chamber's 'first attempt at using artificial intelligence in archive creation,' the AI module was scheduled to begin piloting in autumn 2025.

The initiative is documented in a peer-reviewed case study in the International Journal of Parliamentary Studies (2024) and in Norwegian professional archival-management literature, both of which describe StorSak as an ongoing, multi-year digitalisation effort rather than a finished, evaluated product. As of the most recent published account, no accuracy, adoption or efficiency figures for the AI theme-setting component had been released, and its use remained confined to a pilot phase — a limitation this entry flags explicitly.

Read the full analysis: https://brill.com/abstract/journals/parl/4/1/article-p79_005.xml