In almost every investigation, you start with a few names. A whistleblower email, a witness statement, or a handful of suspects. But names are rarely the whole picture. Real insight comes from understanding how people are connected, who they interact with, who they influence, and how deep their involvement really goes.
Legacy eDiscovery platforms offer limited visualizations, showing who emailed whom and when. But that barely scratches the surface. Matey AI goes further. It reveals the why and how behind the connections, giving legal teams the context they need to uncover the whole web of relationships.
Many platforms boast social network analysis, but what they really offer are diagrams, dots, and lines showing communication patterns. They don't explain the substance of those interactions, the nature of the relationships, or what the context actually means in the case.
This lack of depth leads to missed opportunities. Investigators may overlook a key player because their name doesn’t appear frequently or because they weren’t part of the original custodians. In complex fraud cases, internal investigations, or criminal conspiracies, it’s not just about frequency of communication; it’s about influence, proximity, and involvement.
Matey AI transforms static social graphs into actionable intelligence by combining entity extraction, natural language querying, and context layering.
When data is uploaded, Matey identifies and classifies people, organizations, and places as distinct entities. Each becomes searchable, and more importantly, explorable.
Ask a question like, “Describe the relationship between Billy and Bobbie,” and Matey delivers an answer that doesn’t just say they emailed each other. It tells you they’re father and son, that Bobbie reports to Billy, and that nearly all of Bobbie’s closed deals are tied to Billy’s long-standing industry connections. This turns Bobbie from a background actor to a person of interest in seconds.
Matey let's investigators:
All answers are cited, tied directly to discovery materials, and presented in real-time.
Mapping connections manually can take hours or days. It often requires reading through hundreds of emails, cross-referencing names, and building case theories from fragments. Matey cuts through that with just one prompt, turning tangled email threads into clear insights.
In a recent whistleblower-driven investigation, the initial scope included four employees. After uploading communications and documents to Matey, a prompt asking, “Who appears in communications with Sue about inventory between June and October?” surfaced multiple employees previously outside the scope. One of those individuals became a critical figure after Matey revealed they had authorized numerous suspicious transactions. Without AI-powered mapping, that person may never have been flagged.
Legal outcomes often hinge not just on what happened, but on who knew, who acted, and who enabled misconduct. Identifying the whole cast of characters early can completely change the strategy of a case, whether it’s a criminal defense, corporate compliance review, or internal investigation.
Matey makes sure no one slips through the cracks, no matter how buried their involvement may be.
Understanding relationships in an investigation used to mean whiteboards, email logs, and long hours of manual review. With Matey AI, those connections are built and explained in real-time, with zero guesswork. This isn’t just visualization, it’s proper understanding. And for legal teams under pressure, that clarity can make all the difference.