AI in Business Law: Legal Frameworks for the Digital Era
Murali Krishna Pasupuleti · 2024
Abstract: AI in Business Law: Legal Frameworks for the Digital Era offers a rigorous, practice-grounded theory of how business law must evolve to govern socio-technical AI systems. The book develops an integrated architecture that links the AI stack (data, models, deployment) to the functions of corporate, contract, tort, competition, and intellectual-property law. It proposes risk-based, sector-sensitive governance that combines ex ante standards, certification, and assurance with ex post liability and redress. Methodologically, the work synthesizes doctrinal analysis with economic reasoning (incentives, information asymmetries, externalities) and operational controls (model inventories, testing thresholds, drift monitoring, incident response). Core contributions include: (i) a harmonized control catalog mapping risks to preventive, detective, and corrective controls with evidentiary artifacts; (ii) contracting templates for models, APIs, outputs, and updates that make auditability enforceable; (iii) a safety-assurance regime centered on living safety cases; (iv) principled treatment of copyright, patents, trade secrets, and interoperability to protect innovation while preserving contestability; and (v) dispute-resolution and digital-evidence protocols that enable fair process without sacrificing confidentiality. The result is an actionable blueprint for boards, counsel, regulators, and engineers to translate values—efficiency, fairness, transparency, accountability, and rights—into verifiable practice across the AI lifecycle. Keywords AI governance, business law, risk-based regulation, model risk management, contracts and SLAs, intellectual property, competition law, data protection, bias and fairness, product liability, safety assurance, compliance-by-design, interoperability, algorithmic redress, digital evidence, arbitration, procurement