Disclosures are an important part of communication in a firm’s annual reports. However, prior literature suggests some disclosure practices may be inefficient or irrelevant. Standard setters are currently evaluating how they mandate disclosure, as they try to achieve a balance between what information is needed and useful, and the risk of disclosure overload. In this project, we use Information Extraction and Natural Language Processing (NPL) techniques to detect and then study the disclosures of firms adopting the new accounting standard: IFRS 15 Revenue from Contracts with Customers.