Clustered 2 filings across 2 jurisdictions · filing window Dec 23, 2021 → Jan 5, 2022. View entity profile → Other incidents for this victim →
incident inc_cbd8c518d1064e2d · merge_method llm · confidence 44%
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.
Financial account · Financial credentials
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 25, 2020 → Nov 17, 2021
When the intrusion reportedly occurred, per the linked filings
Nov 24, 2021
Reported by MAINE AG filing
An internal system breach at Smith System Driver Improvement Institute, Inc. occurred between November 25, 2020, and November 17, 2021, and was discovered on November 24, 2021. The breach affected 4 Maine residents, compromising their names and financial account information, such as credit or debit card numbers with security codes. Consumers were notified on December 21, 2021.
Affected (this filing): 4
Smith System Driver Improvement Institute, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2022-01-05. The breach occurred from 11/25/2020 to 11/17/2021. 3 Montana residents were affected.
Affected (this filing): 3
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.