Research & Publications
Built on Published Research.
Our training and consulting practice is grounded in decades of peer-reviewed research, open textbooks, and real-world AI systems. The frameworks we teach are the frameworks we've published.
Books
Textbooks & Monographs
Available Now
Agentic AI in Law and Finance
Michael Bommarito, Daniel Katz, Jillian Bommarito
The definitive guide to agentic AI in regulated industries. Introduces the GPA Framework (Goal, Perception, Action), the three-level hierarchy of agency, and governance models for autonomous systems. Published under Creative Commons BY 4.0.
Forthcoming — April 2026
The AI-Native Firm
Michael Bommarito, Daniel Katz
A strategic blueprint for redesigning professional services firms around AI — covering economics, organizational structure, service delivery models, and the path from AI-enabled to AI-native.
Forthcoming — 2026
LLM Essentials
Michael Bommarito, Daniel Katz
A concise technical reference covering large language model architecture, training, fine-tuning, and deployment — written for legal and professional services technology teams.
Open Research
The ALEA Institute
The ALEA Institute is a 501(c)(3) nonprofit founded by our team to advance open-source AI research and education. ALEA stewards the KL3M model family, the Kelvin Legal DataPack, and a growing portfolio of open tools for legal and ethical AI.
KL3M Models
The world's first Fairly Trained legal language models, available on HuggingFace.
Kelvin Legal DataPack
2T+ token legal data corpus powering research and model training worldwide.
NLP Libraries
NUPunkt, CharBoundary, and other open-source tools for legal text processing.
Policy Research
usbills.ai, FOLIO/SOLI ontology, and Moratorium Nation policy analysis.
Academic Research
Selected Publications
AI and the Bar Exam
"AGI" and the future of law
Our groundbreaking research documented that, for the first time, state-of-the-art AI models can pass the bar exam. The implications for buyers and sellers of legal services are profound.
Litigation Prediction
Forecasting Supreme Court decisions
Applying ensemble machine learning techniques to predict the votes of individual Supreme Court Justices and the Court as a whole over 200 years.
Regulatory Dynamics and Monitoring
How and where is the law changing?
Machine learning and NLP applied to measuring and modeling the regulatory ecosystem across the US Code, CFR, Federal Register, and various foreign sources. Directly relevant to organizations managing complex regulatory environments.
Legal Natural Language Processing
Information extraction and classification for legal text
Developing and assessing NLP software and techniques for the search, extraction, and analysis of legal documents. Our findings and software have been used by thousands of individuals and organizations worldwide and cited in hundreds of publications.
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