Clustered 2 filings across 2 jurisdictions · filing window Jul 14, 2022 → Jul 16, 2022. View entity profile → Other incidents for this victim →
incident inc_d923e592252345c4 · 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
ME NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 1, 2022
When the intrusion reportedly occurred, per the linked filings
Jun 21, 2022
Reported by MAINE AG filing
Johnson O'Hare Company, Inc. experienced an external system breach discovered on June 21, 2022. The incident, which occurred on June 1, 2022, compromised the names and Social Security numbers of 798 individuals, including 32 Maine residents. The company offered affected individuals 24 months of identity theft protection services through IDX.
Affected (this filing): 32
State of New Hampshire Attorney General breach notification filed by Johnson OHare Company, Inc. on July 16, 2022. The provided source document contains only page markers and no substantive breach details, incident description, or data types affected.
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.