Ledger Run upgraded its ClinRun platform to simplify how CROs and sponsors manage “invoiceables” when paying research sites. The system is designed to reduce manual invoice processing by extracting information from unstructured PDF documents and matching it to contract and budget categories. Ledger Run described invoiceables as site costs not always captured in study budgets, making them difficult to forecast and often handled through manual review. In the update, ClinRun combines natural language processing, rules-based reasoning, and large language models to categorize and route the right charges. The company said the enhancement is intended as a step toward automating manual site invoice handling without changing existing payment processes, with an emphasis on faster site payments. It also stated that its models are trained on a mix of publicly available data and proprietary data, subject to permission. For operational biotech leaders and clinical operations teams, the implication is a direct attack on a known bottleneck in trial execution that can delay payments and add staffing costs.