Clustered 2 filings across 2 jurisdictions · filed Feb 24, 2023. View entity profile → Other incidents for this victim →
incident inc_6081fbe4228b4cf9 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Government ID · 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.
ME NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 19, 2022 → Oct 20, 2022
When the intrusion reportedly occurred, per the linked filings
Oct 20, 2022
Reported by NEW HAMPSHIRE AG filing
Jan 25, 2023
Reported by MAINE AG filing
Maine Attorney General notice for Grandfield & Dodd, LLC regarding an external system breach (hacking) occurring October 19-20, 2022. Discovered January 25, 2023, the incident affected 28 individuals (1 Maine resident). Acquired data included names and Social Security Numbers. The firm provided written notification and 1 year of IDX identity protection services.
Affected (this filing): 28
Grandfield & Dodd, LLC reported unauthorized access to an employee's email account between Oct 19-20, 2022. The attacker likely gained access via phishing. The breach exposed names and Social Security numbers of affected individuals. The firm engaged a cybersecurity firm, secured the account, and is offering one year of credit monitoring and identity protection services through IDX.
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.