Clustered 2 filings across 2 jurisdictions · filing window Jan 25, 2024 → Jan 26, 2024. View entity profile → Other incidents for this victim →
incident inc_d9c3c0246a554c83 · 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.
PII
CA IN
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 15, 2023
When the intrusion reportedly occurred, per the linked filings
ElGuindy, Meyer & Koegel, APC reported a data breach to the Indiana Attorney General. The breach occurred on 2023-05-15 and was reported on 2024-01-25. 6 Indiana residents were affected. 5,286 individuals affected in total.
Affected (this filing): 5,286
ElGuindy, Meyer & Koegel, APC reported a data breach occurring on May 15, 2023. The incident involved the unauthorized access to personal information, including names, addresses, and potentially Social Security numbers, of clients in California and Rhode Island. The firm offered complimentary credit monitoring through TransUnion. The specific cause of the breach and the number of affected individuals were not disclosed in the provided notification.
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.