ChronoTracer

ChronoTracer is an evidence chronology platform that converts large, disparate sets of digital evidence into a structured, searchable record of events, communications, and people. It is designed to work alongside e-discovery systems rather than replace them: e-discovery platforms manage documents as single records, while ChronoTracer extracts and organizes the individual events contained within those documents.

Key features and functions include:

Deterministic Event Extraction
A purpose-built processing pipeline ingests evidence and identifies discrete events, including event type, date and time, participant identifiers, content, and source citations, producing the same output each time for a given input.

Broad Evidence Support
Processes evidence from e-discovery productions, forensic device images, cloud accounts, and native files, including emails, text messages, phone records, voicemails, video conference logs, social media posts, government records such as SEC EDGAR filings, photos, videos, privilege logs, and other computer logs.

Searchable, Filterable Timeline
Presents extracted events in a unified chronology that can be searched and filtered by participant, timeframe, or event type, with one-click navigation back to the original source document and Bates number citation where available.

Plain-Language AI Assistant
Lets users query the structured event database in natural language. The AI decomposes complex questions into multiple steps and forms keyword searches, Boolean queries, and filter combinations on the user's behalf, returning actual events with source citations rather than AI-generated text.

MCP Connector
Provides ChronoTracer MCP lets MCP-compatible AI tools, including Claude, ChatGPT, Gemini, Microsoft Copilot, Harvey, and Legora, query the platform's deduplicated, time-ordered, identity-mapped event record directly.