

Agentic AI in Law and Finance
Navigating a New Era of Autonomous Systems
Book • 2026
Agentic AI in Law and Finance connects contemporary discussions about agentic systems to five decades of agent‑based modelling across economics, political science, and cognitive science.
The authors trace intellectual history, clarify what qualifies as an agent, and propose properties to evaluate agentic systems for use in regulated industries.
They examine governance challenges, regulatory gaps, and practical implications for law and finance organisations adapting to autonomous tools.
Drawing on academic research and industry experience, the book offers frameworks for assessing suitability, risk, and oversight.
It is aimed at practitioners, regulators, and researchers navigating the adoption of agentic AI in high‑stakes contexts.
The authors trace intellectual history, clarify what qualifies as an agent, and propose properties to evaluate agentic systems for use in regulated industries.
They examine governance challenges, regulatory gaps, and practical implications for law and finance organisations adapting to autonomous tools.
Drawing on academic research and industry experience, the book offers frameworks for assessing suitability, risk, and oversight.
It is aimed at practitioners, regulators, and researchers navigating the adoption of agentic AI in high‑stakes contexts.
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to explain the book's thesis grounding modern agentic AI in 50 years of agent‑based modeling research.

Michael Bommarito

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