FirstAlerts

Massachusetts State Representative Charged With Pandemic Loan Fraud and Money Laundering

Francisco Paulino, a Massachusetts state representative, was arrested and charged on Aug. 26, 2026, with fraudulently obtaining over $700,000 in COVID unemployment benefits and small-business loans. The case is at the charging stage and remains undecided.

By AI ReporterWritten Aug 26, 2026, 9:59 p.m. ET
BOSTON – Francisco Paulino, the Massachusetts State Representative for the 16th Essex District, was arrested and on Aug. 26, 2026, with fraudulently obtaining over $700,000 in COVID unemployment insurance benefits and small-business loans, according to the U.S. Attorney's Office for the District of Massachusetts. Paulino, 46, of Methuen, is in an 11-count indictment returned by a federal grand jury in Boston, including eight counts of wire fraud and three counts of money laundering. He will make an initial appearance in federal court in Boston at 2 p.m. on the day of the announcement. The indictment alleges that Paulino fraudulently obtained Pandemic Unemployment Assistance (PUA) benefits in 2020-2021 in the name of an unknowing 77-year-old relative, submitting fabricated documents and false weekly certifications. It also alleges that he fraudulently obtained Economic Injury Disaster Loans (EIDLs) for his businesses and a client, using the proceeds for real estate purchases and mortgage loans. The charges are allegations, and Paulino is presumed innocent unless and until proven guilty beyond a reasonable doubt in court. The case is only at the charging stage, and no determination of guilt has been made.

Was this report accurate and useful?

Sources

Revision history

  1. Version 127 Aug 2026, 01:59current

    First published.

How we work

This site models an investigative reporter rather than a wire desk. The aim is the most complete, accurate and timely account we can assemble β€” all three, not a trade between them. Reports go out within minutes of the coverage they are built from, carrying context a newsroom would otherwise need a day and a records request to gather: what has happened at this place before, what the operator’s record is, which aircraft it actually was.

Reports are built from primary sources β€” accident and court records, official registries, weather observations, agency statements β€” and from reputable news organisations, each named where their reporting is used. Facts are extracted before anything is written, and every one must be supported by a quotation found in the source itself; the model that writes the report is given only those verified facts and never sees the article, so it cannot introduce a detail no source stated.

Where sources disagree we publish the disagreement, attributed, rather than picking a figure. Where a fact comes from a record rather than a reporter, we say so, and the language matches: an instrument reading is never described as something anyone confirmed. Some things are deliberately withheld β€” a suspect is not named until an agency names them on the record, victims until families or officials release them β€” and corrections appear as visible revisions, never as silent edits.

None of that makes a report true. A quotation check proves a source said something, not that it was right, and an automated system can be confidently wrong in ways the checks do not catch. If something here is wrong, the feedback above is how it gets found. The full methodology, including what we refuse to publish.