The Epstein Files

Island Investigation

The Epstein Files is the first AI-native documentary podcast to systematically analyze the Jeffrey Epstein case at scale. With over 3 million pages of DOJ documents, court records, flight logs, and public resources now available, traditional journalism simply cannot process this volume of information. AI can.  This series leverages artificial intelligence at every layer of production. From custom-built architecture that ingests and cross-references millions of pages of evidence, to AI-generated audio that delivers findings in a consistent, accessible format, this project represents a new model for investigative journalism. What would take a newsroom years to analyze, AI can process in days, surfacing connections, patterns, and details that would otherwise remain buried in the sheer volume of data.  Each episode draws directly from primary sources: unsealed court documents, FBI files, the black book, flight logs, victim depositions, and the DOJ's ongoing document releases. The AI architecture identifies relevant passages, cross-references names and dates across thousands of files, and synthesizes findings into episodes that make this information digestible for the public.  The series covers Epstein's mysterious rise to wealth, his network of enablers, the properties where crimes occurred, the 2008 sweetheart deal, his death in federal custody, the Maxwell trial, and the unanswered questions that remain.  This is not sensationalized content. It is documented fact, processed at scale, and presented with journalistic rigor. The goal is simple: make the public record accessible to the public.  New episodes release as additional documents become available, with AI enabling rapid analysis and production that keeps pace with ongoing revelations. Our Standards AI enables scale, but journalistic standards guide the output. Every claim is tied to specific documents. The series clearly distinguishes between proven facts and allegations. Victim testimony is handled with dignity. Names that appear in documents are not accused of wrongdoing unless documents support such claims.  This is documented fact, processed at scale, presented for the public.

  1. File 78 - FBI Found a Painting of Bill Clinton in a Blue Dress at Epstein's Mansion

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    File 78 - FBI Found a Painting of Bill Clinton in a Blue Dress at Epstein's Mansion

    When FBI agents executed a search warrant at 9 East 71st Street in July 2019, they cataloged the contents room by room. Among the items they found: a painting of Bill Clinton wearing a blue dress and red heels, hanging in a hallway of a $77 million townhouse. It was one piece in an art collection spread across every Epstein property - Manhattan, Palm Beach, New Mexico, and the Virgin Islands. This episode follows the art collection through bail hearings where prosecutors disclosed $559 million in assets including art, cash, and diamonds across multiple jurisdictions, through estate probate filings that itemized art valuations at each residence, through EFTA financial records showing large cash movements that could facilitate art purchases without standard AML reporting. Before 2020, the art market had virtually no anti-money laundering regulations - dealers were not required to file suspicious activity reports, making art one of the last unregulated financial asset classes. Freeport storage facilities allowed high-value art to be held in tax-free zones indefinitely, with ownership transferring through private sales that left no public record. Sources for this episode are available at: https://epsteinfiles.fm/?episode=ep78 About The Epstein Files The Epstein Files is an AI-generated podcast analyzing the 3.5 million pages released under the Epstein Files Transparency Act (EFTA). All claims are grounded in primary source documents. New episodes are released regularly as additional documents are reviewed. Produced by Island Investigation

    26 min

Om

The Epstein Files is the first AI-native documentary podcast to systematically analyze the Jeffrey Epstein case at scale. With over 3 million pages of DOJ documents, court records, flight logs, and public resources now available, traditional journalism simply cannot process this volume of information. AI can.  This series leverages artificial intelligence at every layer of production. From custom-built architecture that ingests and cross-references millions of pages of evidence, to AI-generated audio that delivers findings in a consistent, accessible format, this project represents a new model for investigative journalism. What would take a newsroom years to analyze, AI can process in days, surfacing connections, patterns, and details that would otherwise remain buried in the sheer volume of data.  Each episode draws directly from primary sources: unsealed court documents, FBI files, the black book, flight logs, victim depositions, and the DOJ's ongoing document releases. The AI architecture identifies relevant passages, cross-references names and dates across thousands of files, and synthesizes findings into episodes that make this information digestible for the public.  The series covers Epstein's mysterious rise to wealth, his network of enablers, the properties where crimes occurred, the 2008 sweetheart deal, his death in federal custody, the Maxwell trial, and the unanswered questions that remain.  This is not sensationalized content. It is documented fact, processed at scale, and presented with journalistic rigor. The goal is simple: make the public record accessible to the public.  New episodes release as additional documents become available, with AI enabling rapid analysis and production that keeps pace with ongoing revelations. Our Standards AI enables scale, but journalistic standards guide the output. Every claim is tied to specific documents. The series clearly distinguishes between proven facts and allegations. Victim testimony is handled with dignity. Names that appear in documents are not accused of wrongdoing unless documents support such claims.  This is documented fact, processed at scale, presented for the public.

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