Last November, the House Oversight Committee released a massive trove of 20,000 pages of documents from the estate of Jeffrey Epstein, sparking a wave of interest in unraveling the complex web of conversations and connections within. However, the sheer volume of documents, coupled with the limitations of traditional PDF viewers, made it a daunting task.

Enter Luke Igel and his team, who sought to develop a solution to this problem. With the Department of Justice set to release over three million more files in the coming months, the need for an efficient and effective way to search and analyze these documents became increasingly pressing.

The challenge lay in the fact that while the Department of Justice had run optical character recognition (OCR) over the text, the results were less than satisfactory, rendering the files largely unsearchable. This is where AI comes into play, offering a potential solution to this puzzle.

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