Artificial Intelligence and Its Interplay with M&A: A Techno Legal Perspective for In House Counsel

Abstract

Artificial intelligence (AI) is reshaping full mergers and acquisitions lifecycle, from strategy and deal origination through due diligence, valuation, execution, integration and post closing dispute management. Traditional AI, Generative AI and emerging Agentic AI systems are now embedded in legal, financial and strategic workstreams, creating both new value pools and novel risk vectors for in house counsels. The International In House Counsel Journal audience sits at the nexus of these developments, as users of AI enabled tools within corporate legal departments and as gatekeepers for transactions involving AI rich targets. This paper offers a techno legal framework for understanding how different classes of AI technologies interact with the M&A process and what this means for governance, accountability, cost, security and deal documentation across US, European and Indian contexts. A recurring theme is professional responsibility: in-house counsel cannot delegate ultimate accountability to software, and the frameworks in this paper are designed to help legal teams remain squarely in command of AI-assisted processes.