Insurance Claims Research
Using search to corroborate claim details, incident reports, and public records.
The problem
Verifying a claim's story — did this accident happen the way it was described, does this property have a history of prior damage, is this claimed injury consistent with public record — traditionally means a manual investigator digging through news archives, court records, and social media one claim at a time.
How the workflow is built
Per-claim queries combine names, dates, and incident locations against news archives, local court record portals, and public social posts, looking for corroborating or contradicting detail — a news report of the same accident, a social post timestamped inconsistently with the claimed incident, a property's prior-damage history from local reporting.
Example queries
"[claimant name]" "[incident location]" accident news"[address]" fire OR flood damage historysite:[local court portal] "[claimant name]" case history
Pitfalls to watch for
- This is a genuinely sensitive personal-data use case, and any workflow here needs to sit squarely within applicable insurance and privacy regulation (state-level rules on claims investigation vary significantly) rather than being treated as generic web research.
- Common names produce a high false-positive rate — corroborating or contradicting a claim based on a same-name, different-person search result is a serious error mode that needs explicit disambiguation logic, not just a name match.
- Absence of a corroborating search result proves very little (most real incidents never get reported online), so this should function as one supporting signal among several, never as sole grounds for a claim decision.