Automated Lease Compliance Risk Assessment Framework

Create a comprehensive legal risk assessment matrix for residential property leases that automatically flags potential compliance issues across multiple jurisdictions. The framework should integrate machine learning algorithms to predict potential legal risks based on clause variations, local housing regulations, and historical dispute patterns. Include a scoring mechanism that weights risks from low to critical, with specific recommendations for mitigation strategies and potential amendment language.