Mixpeek Logo
    Intermediate
    Coming Soon
    Legal & Compliance
    7 min read

    Epstein Files Intelligence

    Apply multimodal search and entity extraction to the Epstein files. Surface connections, timeline events, and entities across thousands of scanned legal documents.

    Who It's For

    Investigative journalists, legal researchers, OSINT analysts, and public interest organizations working with large declassified document sets

    Problem Solved

    Thousands of scanned, redacted, and poorly-OCR'd legal documents are effectively unsearchable. Manual review is impossibly slow, and connections between documents, entities, and events are invisible.

    Why Mixpeek

    Handles scanned and redacted documents that break traditional search. Entity extraction and relationship mapping surface connections invisible to keyword search. RAG-powered Q&A provides sourced, verifiable answers.

    Overview

    The Epstein Files Intelligence use case demonstrates how multimodal AI can make large declassified document collections accessible and searchable. By combining enhanced OCR, entity extraction, relationship mapping, and semantic search, researchers can navigate thousands of documents to surface connections, timeline events, and entities that would take months to find manually.

    Challenges This Solves

    Document Quality

    Scanned PDFs with handwriting, redactions, and poor scan quality defeat standard OCR

    Impact: 30-40% of text content is invisible to traditional search

    Volume Overwhelm

    Thousands of documents with no structured index or cross-referencing

    Impact: Manual review would take months of full-time work

    Hidden Connections

    Entities mentioned across different documents are not linked

    Impact: Critical relationships and patterns remain invisible

    Recipe Composition

    This use case is composed of the following recipes, connected as a pipeline.

    1
    Multimodal RAG

    LLMs that cite real clips, frames, and documents

    2
    Semantic Multimodal Search

    Find anything across video, image, audio, and documents

    3
    Feature Extraction

    Turn raw media into structured intelligence

    Feature Extractors Used

    Retriever Stages Used

    semantic search

    filter aggregate

    Expected Outcomes

    100% of corpus indexed

    Document searchability

    92% F1 score

    Entity extraction accuracy

    50x faster than manual review

    Research speed

    Search Any Document Collection

    Clone the document intelligence pipeline for your own legal or investigative corpus.

    Estimated setup: 1 hour

    Frequently Asked Questions

    Ready to Implement This Use Case?

    Our team can help you get started with Epstein Files Intelligence in your organization.