StoneTurn assisted a large bank with an internal investigation and its internal counsel team with a review of alleged money laundering across client accounts. This analysis included identifying incoming and outgoing wire transfers from the identified client accounts, as well as derivative transactions from subsidiaries and majority-owned investments. These analyses required the use of large database extraction, Optical Character Recognition, and text scraping of PDF documents. Additionally, StoneTurn calculated theoretical net laundering activity using dynamic data modeling and visualizations.