Link Analysis Workbench for Investigations

Investigation teams work with large volumes of records — people, companies, vehicles, events — scattered across spreadsheets and individual officers’ documents. Checking whether two things are connected relies on memory and opening files one by one.

When the picture of connections lives in individual officers’ heads, teamwork and case handovers risk losing it. And as the data grows, no amount of table-reading can reveal the whole network.

We built a demonstration system that imports data from standard files and converts it into a graph automatically: people, organizations, accounts, and events become nodes, and every edge records where its data came from. Users can find paths between two entities, filter by time period, and save network views into a case.

The interface uses an interactive graph designed to stay readable even for complex networks, plus a timeline view that shows event sequence alongside relationships. The demo runs entirely on fictitious data prepared for presentation.