Clustered 2 filings across 2 jurisdictions · filing window Mar 8, 2019 → Mar 13, 2019. View entity profile → Other incidents for this victim →
incident inc_e256571391864faf · merge_method deterministic · confidence 100%
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.
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 8, 2018
When the intrusion reportedly occurred, per the linked filings
Advocate Sherman Hospital reported a data breach to the Montana Attorney General. The breach was reported on 2019-03-08. The breach occurred from 5/8/2018 to 8/1/2018. 2 Montana residents were affected.
Affected (this filing): 2
Advocate Sherman Hospital notified individuals that its former service provider Jobscience (Bullhorn, Inc.) suffered a data breach in or around May 2018, in which an unauthorized third party gained access to and acquired data from Jobscience's server used to process job applications. Data involved included names, contact information, dates of birth, resumes, and Social Security Numbers. Individuals were notified in March 2019 after the hospital confirmed involvement in February 2019.
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.