Due to the nature and costs of data collection, many real-world databases consist of large numbers of independent transactions. Finding evidence of structured groups of entities reflected in this data is a task aptly suited to Link Analysis. However, the databases usually must be restructured to allow effective search and analysis of the linkage structures hidden in the original transactions. The FinCEN AI System (FAIS)is an example of such an application. We briefly discuss the process of database restructuring and show how it is used to support the discovery and analysis of evidence of money laundering in a database of cash transactions.