Paul Wooten

Paul Wooten represents clients in complex litigation, conducts sensitive internal investigations, and advises on the use of artificial intelligence. His work on the latter is informed by his own experience building AI systems for enterprise clients, and his work on the former by a decade spent investigating and prosecuting financial crime.

Litigation and Internal Investigations

Paul has handled complex litigation and investigations from inception through trial across both prosecution and defense. As White Collar Investigations Counsel at a leading international law firm, he managed complex litigation and cross-border internal investigations for global corporate clients, leading teams of attorneys through matters that integrated high stakes advocacy, data analysis, and structured risk assessments. He developed case strategy at every stage and orchestrated cross-functional collaborations among outside counsel, experts, and internal business teams to advise on both legal and commercial interests while mitigating emerging regulatory risk.

Earlier in his career, Paul served as an Assistant District Attorney in the Kings County District Attorney’s Office, where he was a member of the Frauds Bureau. He prosecuted a range of complex financial crime matters, including healthcare fraud cases and what was, at the time, the largest financial crime investigation in the Office’s history. His trial and pretrial experience includes presenting evidence to Grand Juries in multi-month proceedings, conducting hearings and motion practice, and directing coordinated enforcement actions involving multiple law enforcement agencies.

Paul also worked in the FBI’s Office of the General Counsel, supporting cybersecurity and cyber-fraud investigations and analyzing legal frameworks governing digital surveillance and technology-driven operations.

Advising on the AI Use

Paul advises clients on the legal and regulatory implications of their use of artificial intelligence, drawing on direct experience as an AI engineer. Before returning to private practice, he served as a Legal Engineer at Norm Ai, where he designed AI agents that performed sophisticated legal and compliance functions for enterprise clients—translating dense regulatory frameworks into machine-readable rule systems and building workflows in which large language models produced outputs that could be reviewed, audited, and defended. Few lawyers advising on AI have engineered the systems themselves.

That experience informs the counsel Paul provides. He advises clients on how to make the most out of AI: how to evaluate the AI tools their vendors are selling them, how to identify legal and regulatory exposure in AI-enabled products and services, and how to build the human review, documentation, and audit practices that make AI use safe, productive, and efficient.