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 '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. Stortinget's own archival staff describe it as the chamber's 'first attempt at using artificial intelligence in archive creation'; the module was scheduled to begin piloting in autumn 2025.

StorSak is documented 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.