Clustered 2 filings across 2 jurisdictions · filing window Apr 16, 2026 → Apr 20, 2026. View entity profile → Other incidents for this victim →
incident inc_452e3cccc3ca46bb · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
IN NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 12, 2025
When the intrusion reportedly occurred, per the linked filings
Jul 18, 2025
Reported by NEW HAMPSHIRE AG filing
Farrell Fritz PC reported a data breach to the Indiana Attorney General. The breach occurred on 2025-06-12 and was reported on 2026-04-16. 5 Indiana residents were affected.
Affected (this filing): 5
Farrell Fritz, P.C. notified the New Hampshire Attorney General of a data security event affecting approximately four New Hampshire residents. The firm became aware of a network disruption on July 18, 2025, and determined an unauthorized actor acquired personal information including names, SSNs, and medical/health insurance data. Notifications were sent on April 16, 2026. No evidence of misuse was found.
Affected (this filing): 4
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.