The list below is a starting point per industry, not a survey.
74.5.1 Industry-specific reads
- Medical: NEJM AI, JAMA's AI sections, Health Affairs, Lancet Digital Health, and Stat News.
- Legal: Law360, Legaltech News, Artificial Lawyer, LegalTech Hub.
- Finance: eFinancialCareers, The Trade, plus the BankAI, FinSight, and FintechAI events and newsletters.
- Education: EdSurge, plus Princeton CITP's AI Snake Oil for critical-perspective on educational AI claims.
- Cyber: Krebs on Security, Dark Reading.
- Industry Slack/Discord communities: Pavilion (legal), HLTH (healthcare), RSAC (cybersecurity) host the largest practitioner networks.
Note: Vertical AI standards are starting to matter
The NIST AI Risk Management Framework 1.0 and sector-specific customizations (FDA AI/ML guidance for medical, SR 11-7 for financial models, NIST 800-218 for software supply chain) are increasingly cited in 2025-26 procurement processes. The framework you pick (or your vendor picks) affects which platforms are deployable; flag this when evaluating vendors.
74.5.2 Cross-industry AI venues
- State of AI Report: annual market overview.
- Stanford AI Index.
- AI Alliance: open-source-friendly industry consortium.
What's Next?
This chapter completes the current part. The next part, Part XV: LLM & Agentic AI Research Frontiers, opens a new arc; see the part index for chapter ordering.
Further Reading
Industry-Specific Tool Catalogs
Stanford CodeX (2024-2026). "Legal AI Vendor Landscape." Stanford Center for Legal Informatics. law.stanford.edu/codex
CB Insights (2024-2026). "State of AI in Financial Services" market map and quarterly briefings. cbinsights.com/research/report/ai-in-fintech
Rock Health (2024-2026). "Digital Health Funding and AI in Healthcare reports." rockhealth.com/insights
Industry-Vertical Benchmarks
Guha, N., Nyarko, J., Ho, D. E., et al. (2023). "LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models." NeurIPS 2023. arXiv:2308.11462
Katz, D. M., Bommarito, M. J., Gao, S., & Arredondo, P. (2024). "GPT-4 passes the bar exam." Philosophical Transactions of the Royal Society A. arXiv:2303.08774 (GPT-4 technical report includes UBE result)
Xie, Q., Han, W., Lai, Y., et al. (2023). "FinBench / PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance." NeurIPS 2023 Datasets and Benchmarks. arXiv:2306.05443
Jin, D., Pan, E., Oufattole, N., et al. (2021). "What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams" (MedQA). Applied Sciences. arXiv:2009.13081
Singhal, K., Azizi, S., Tu, T., et al. (2023). "Large language models encode clinical knowledge" (MedPaLM, MultiMedQA). Nature. nature.com/articles/s41586-023-06291-2
Regulation: Primary Sources
European Union (2024). "Regulation (EU) 2024/1689 (Artificial Intelligence Act)." Official Journal of the European Union. eur-lex.europa.eu/eli/reg/2024/1689/oj
American Bar Association (2024). "Formal Opinion 512: Generative Artificial Intelligence Tools." ABA Standing Committee on Ethics and Professional Responsibility. americanbar.org/groups/professional_responsibility/publications
U.S. Food and Drug Administration (2024-2025). "Software as a Medical Device (SaMD): Clinical Evaluation" and AI/ML-Based SaMD Action Plan. fda.gov/medical-devices/software-medical-device-samd
U.S. Department of Health & Human Services. "HIPAA Privacy Rule (45 CFR Part 164)." hhs.gov/hipaa/for-professionals/privacy
Board of Governors of the Federal Reserve System & OCC (2011, reaffirmed 2021). "Supervisory Guidance on Model Risk Management" (SR 11-7 / OCC 2011-12). federalreserve.gov/supervisionreg/srletters/sr1107.htm
NIST (2023-2024). "AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile." nist.gov/itl/ai-risk-management-framework