Waters & Kraus LLP reported a data breach to the Montana Attorney General. The breach was reported on 2021-01-13. The breach occurred from 12/5/2019 to 5/15/2020. 36 Montana residents were affected.
Affected (this filing): 36
Clustered 2 filings across 2 jurisdictions · filing window Jan 13, 2021 → Jan 14, 2021. View entity profile → Other incidents for this victim →
incident inc_3e35517088264810 · 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.
HI MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 5, 2019
When the intrusion reportedly occurred, per the linked filings
Waters & Kraus LLP reported a data breach to the Montana Attorney General. The breach was reported on 2021-01-13. The breach occurred from 12/5/2019 to 5/15/2020. 36 Montana residents were affected.
Affected (this filing): 36
Waters & Kraus LLP reported a data breach to the Hawaii Office of Consumer Protection. The office was notified on 2021/01.14. Breach type: Hackers/Unauthorized Access. 1,339 Hawaii residents were affected. Recovered from the Internet Archive after the notice was removed from the OCP table.
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.