Regional Media: Research and First Drafts in a Fraction of the Time

A regional publisher with 45 editors publishes 120–150 articles daily across print, digital, and social media. Newsroom pressure is intense: fewer staff than a decade ago, more channels, higher frequency. Time for deep research is scarce.

Meanwhile, the publisher sits on a vast archive: 30 years of digital articles, local documentation, council minutes, interviews. This archive is practically unused — full-text search is too imprecise, and editors don’t remember what exists.

Source Protection and Press Confidentiality

Journalistic sources — contact details, unpublished material, informant tips — are protected by press freedom laws. This data may not enter external systems under any circumstances. At the same time, the publisher wanted to benefit from AI productivity gains.

Local Editorial Assistant with SoverIQ

SoverIQ Stack runs on the editorial server. The archive is fully indexed locally:

• Archive search: “What have we written about the Mühlheim City Council in the last 5 years?” — with summaries and links
• Background briefing: for a new topic, automatically compile a briefing from archive, council minutes, and local documents
• Draft assistant: structured press releases or minutes are converted into a first draft for the journalist to edit
• Content repurposing: a long article is adapted into social media snippets, newsletter teaser, and audio script

Results

Research time for background articles dropped by 40%. The archive is actively used — editors discover connections that would otherwise have remained hidden. Three investigative articles emerged directly from archive research that would not have been attempted before.