Clustered 2 filings across 2 jurisdictions · filed Sep 20, 2021. View entity profile → Other incidents for this victim →
incident inc_e7e14dfbfbc14c7e · merge_method human · 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.
PII · Identity (basic) · Government ID
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 2, 2021 → Apr 4, 2021
When the intrusion reportedly occurred, per the linked filings
Aug 5, 2021
Reported by MAINE AG filing
Haynes Furniture Company, Inc. reported a data breach affecting 7,782 individuals, which occurred between April 2 and April 4, 2021. The breach was discovered on August 5, 2021. An unauthorized party gained access to the company's systems, compromising names and Social Security numbers. Affected individuals were notified in writing on September 20, 2021.
Affected (this filing): 7,782
Haynes Furniture Company, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2021-09-20. The breach occurred from 4/2/2021 to 4/4/2021. 16 Montana residents were affected.
Affected (this filing): 16
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.