Advancements in AI Video Generation: The Legal Playbook for Deepfakes, Identity Risks, and AI Governance Laws

Ahmad's credentials are anchored in his recognized standing as an expert witness and technology advisor. He is a trusted technology advisor and recognized expert witness whose work in complex litigation and regulatory disputes has been called upon by Fortune 500 companies, AmLaw 100 firms, and global policy leaders.

He is a trusted technology advisor and recognized expert witness, serving Fortune 100 companies, top law firms, and government agencies. He is recognized internationally as a technologist, expert witness, and executive advisor, and leads a Manhattan-based firm built around digital transformation and high-stakes software work. Its client base spans hedge funds, private equity firms, mid-market enterprises, and foreign governments, and his engagements move between corporate boardrooms, courtrooms, and sovereign advisory settings. C-suite leaders, trial attorneys, regulatory bodies, AmLaw 100 firms, and global policy leaders retain him where technical analysis has to hold up under legal scrutiny.

A seasoned public speaker and educator, Ahmad has delivered CLEs, workshops, and keynote addresses for the New York State Bar Association, the Institute of Internal Auditors, the CFA Society of New York, and other national professional organizations. His sessions are widely known for translating highly technical topics into practical, courtroom-ready legal insights. That record includes his May 2025 keynote at the Institute of Internal Auditors Annual Conference, Intro to AI: Ethics, Audit Risk & Algorithmic Accountability, addressing AI governance, bias mitigation, and algorithmic transparency for audit and compliance leaders. He speaks frequently for the New York State Bar Association, including its Intellectual Property, Technology Law, and Trial Practice sections, and presented Digital Frontlines: Protecting and Litigating IP in the Age of Cyber Threats and Tech Complexity. For the New York State Society of CPAs he conceived and moderated the panel When AI Meets the Ledger and delivered Executive Cybersecurity. He speaks on fintech and digital transformation for CFA Society New York, presents regularly to CEO and C-suite groups through Vistage, has served as guest faculty for a university lecture series on AI and the corporate world, and wrote 4 of the Worst Ways to Use AI for VentureBeat in May 2021. He is the creator of four practitioner programs: the Artificial Intelligence Governance Workshop, which addresses AI governance problems facing boards, legal teams, and senior leadership; Intro to AI for Legal and Business Professionals, a flagship seminar clarifying AI risks and capabilities for non-technical audiences; Cybersecurity for Executives, used by legal, finance, and healthcare institutions to align technology risk with compliance frameworks; and Crypto & Digital Asset Compliance, covering custody, regulation, and blockchain systems in litigation and governance. His CLE catalog includes Navigating AI in Legal Practice, AI and the Law, AI in the Courtroom, Electronic Signature and Audit Trail Forensics, From Blockchain to Bitcoin, and Decoding Blockchain, Cryptocurrency, and the Law.

Ahmad has provided expert analysis in complex matters involving source code, digital evidence, ediscovery, and AI-generated content. He regularly supports attorneys navigating the admissibility and reliability of technology-driven evidence under the Federal Rules of Evidence and Daubert standards. He founded Ahmadeus Technology Boutique after the 2008 financial crisis to deliver technology work matched to each client’s specific vertical and context. His advisory work reaches foreign governments, institutional investors, and C-suite leaders on emerging technology, M&A technology diligence, and digital asset valuation, and extends to intellectual property and code audits, breach response, and regulatory readiness. He is regularly retained in complex litigation and regulatory disputes, including matters involving source code theft, insider exploitation, and trade secret misappropriation.