Clustered 2 filings across 2 jurisdictions · filed Apr 16, 2026. View entity profile → Other incidents for this victim →
incident inc_9262c77f61a94d05 · 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 · Government ID
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 8, 2025
When the intrusion reportedly occurred, per the linked filings
Feb 6, 2026
Reported by MAINE AG filing
Markowitz, Ringel, Trusty & Hartog, P.A., a Miami-based law firm, experienced an external system breach (hacking) on 08/08/2025. The breach was discovered on 02/06/2026, approximately six months later. One Maine resident was affected. Affected individuals were offered 12 months of credit monitoring and identity restoration services through TransUnion. Notification was sent on 04/16/2026.
Affected (this filing): 1
Markowitz, Ringel, Trusty, & Hartog P.A reported a data breach to the Indiana Attorney General. The breach occurred on 2025-08-08 and was reported on 2026-04-16. 8 Indiana residents were affected.
Affected (this filing): 8
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.