Clustered 4 filings across 1 jurisdiction · filing window Nov 18, 2010 → Dec 29, 2010. View entity profile → Other incidents for this victim →
incident inc_deff9e90e3a04a01 · 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.
NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
State of New Hampshire Attorney General breach notification filed by Experian on 2010-11-18. The source document is a PDF attachment containing no visible text content (pages are empty). No breach details, dates, or data types are extractable from the provided source.
State of New Hampshire Attorney General breach notification filed by Experian on 2010-12-10. The source document is a PDF attachment with no visible text content provided in the extraction. No specific breach details, dates, or data types are discernible from the provided input.
State of New Hampshire Attorney General breach notification filed by Experian on 2010-12-22. The source document is a PDF attachment containing only page markers with no extractable narrative text, dates, or incident details.
State of New Hampshire Attorney General breach notification filed by Experian on 2010-12-29. The source document is a PDF attachment containing only page markers with no extractable narrative text, dates, or incident details.
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.