Clustered 4 filings across 3 jurisdictions · filing window Jul 9, 2025 → Aug 12, 2025. View entity profile → Other incidents for this victim →
incident inc_255d21c0c7e341e8 · merge_method human · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Materiality delta · SEC filing delay — no SEC 8-K in this cluster.
PII
ME NH
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 26, 2025 → Jul 1, 2025
When the intrusion reportedly occurred, per the linked filings
Jul 9, 2025
Reported by MAINE AG, NEW HAMPSHIRE AG filings
Daniels Law Group LLC is a results-oriented law firm located in Grand Junction, Colorado, specializing in civil law with an emphasis on domestic relations, including complex divorces and family law matters. The firm serves clients across the ...
Daniels Law Group LLC is a results-oriented law firm located in Grand Junction, Colorado, specializing in civil law with an emphasis on domestic relations, including complex divorces and family law matters. The firm serves clients across the ...
Daniels Law Group, LLC (Grand Junction, CO), a law firm, notified the Maine AG of an external hacking incident. An unidentified individual or group gained unauthorized access to the firm's file servers on or before July 1, 2025; the breach was discovered July 9, 2025. Approximately 5,199 individuals were affected nationally, with 1 Maine resident affected. The data involved included personal information held in client files. Identity theft protection via Cyberscout/TransUnion was offered.
Daniels Law Group, LLC reported a ransomware incident to the New Hampshire AG on August 12, 2025. A threat actor associated with the Qilin ransomware group gained access via stolen MSP credentials around June 26, 2025, encrypting data on July 1, 2025. Exfiltration was suspected on July 9, 2025. One NH resident's PII (SSN, DL, health info) was affected. The firm engaged forensics, notified law enforcement, and offered credit monitoring.
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.
Affected (this filing): 1
Affected (this filing): 1