Clustered 2 filings across 2 jurisdictions · filing window Feb 20, 2026 → Feb 26, 2026. View entity profile → Other incidents for this victim →
incident inc_f9a59abba1b94517 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic)
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 1, 2025 → Dec 18, 2025
When the intrusion reportedly occurred, per the linked filings
Jan 20, 2026
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
McClallen Law experienced a security incident impacting two email accounts. Unauthorized access occurred between December 1 and December 18, 2025. Files accessed contained full names. McClallen Law engaged external cybersecurity professionals for forensic investigation and is offering complimentary credit monitoring services to affected individuals.
McClallen & Associates, P.C. (dba McClallen Law) notified the New Hampshire Attorney General of a phishing incident affecting two corporate email accounts. Unauthorized access occurred between December 1, 2025, and December 18, 2025. The firm discovered on January 20, 2026, that the emails contained full names and Social Security numbers of one New Hampshire resident. Notifications were sent on February 20, 2026, offering one year of credit monitoring via Experian.
Affected (this filing): 1
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.