Clustered 2 filings across 2 jurisdictions · filing window Jul 21, 2023 → Jul 25, 2023. View entity profile → Other incidents for this victim →
incident inc_c7249810fea847c6 · 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
Nov 15, 2022 → Dec 19, 2022
When the intrusion reportedly occurred, per the linked filings
Jun 21, 2023
Reported by MAINE AG filing
TRJ Accounting, Inc. experienced an external system breach between November 15, 2022, and December 19, 2022, which was discovered on June 21, 2023. The breach affected 937 individuals, including 3 Maine residents, and compromised names and Social Security numbers. Affected individuals were notified on July 21, 2023, and offered credit monitoring and identity theft restoration services.
Affected (this filing): 3
State AG breach notification filed by TRJ Accounting, Inc. on July 25, 2023. The attachment content was empty, preventing extraction of incident details, dates, or affected data types.
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.