Medical Device Software Liability Risk Assessment Tool

Design a comprehensive Python risk assessment framework for medical device software that automatically evaluates potential legal liabilities. Utilize machine learning algorithms to predict risk factors based on historical FDA recall data, device complexity, and software architecture. Create a scoring mechanism that quantifies legal exposure, generates compliance recommendations, and produces detailed risk mitigation reports compatible with ISO 14971 medical device risk management standards.