Clustered 2 filings across 2 jurisdictions · filing window Feb 22, 2022 → Mar 28, 2022. View entity profile → Other incidents for this victim →
incident inc_2975db2db00e4bbf · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 14, 2021
When the intrusion reportedly occurred, per the linked filings
Jan 27, 2022
Reported by MAINE AG filing
Taylor, Ganson & Perrin, LLP reported a data breach to the Montana Attorney General. The breach was reported on 2022-02-22. The breach occurred from 12/14/2021 to 1/23/2022. 15 Montana residents were affected.
Affected (this filing): 15
Taylor, Ganson & Perrin, LLP, a law firm, reported an external system breach that occurred on December 14, 2021, and was discovered on January 27, 2022. The incident affected 75 Maine residents, compromising their names and financial account or card numbers with security codes. The firm provided 24 months of credit monitoring and identity restoration services through IDX.
Affected (this filing): 75
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.