Clustered 2 filings across 2 jurisdictions · filing window Feb 17, 2024 → Feb 20, 2024. View entity profile → Other incidents for this victim →
incident inc_b890604a727e40f1 · 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.
Identity (basic) · Government ID
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 9, 2024
When the intrusion reportedly occurred, per the linked filings
Jan 25, 2024
Reported by MAINE AG filing
Matthews International reported a data breach to the Indiana Attorney General. The breach occurred on 2024-01-09 and was reported on 2024-02-17. 146 Indiana residents were affected. 1,846 individuals affected in total.
Affected (this filing): 1,846
Matthews International experienced an inadvertent disclosure on January 9, 2024, discovered on January 25, 2024. The incident exposed the names and Social Security numbers of 1,846 individuals, including 5 Maine residents. Matthews International offered affected individuals 24 months of complimentary credit monitoring services.
Affected (this filing): 5
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.