Adam Ian Stratmeyer, J.D.

AI Researcher | Legal-Technical Analyst | Founder

As the founder of Stratmeyer Analytica and Observable Compute, I am driven by a singular mission: to forge the empirical links connecting legal reality, human cognition, and artificial intelligence. My trajectory—from analyzing early GDPR implications as a legal analyst to engineering robust RAG systems—centers on decoding the ethical dimensions of technology. I hold a J.D. from the Knudson School of Law and a B.S. in Psychology, a multidisciplinary foundation that informs my work in AI observability.

Currently, I focus on the Observable Function v2.3 framework, which provides systemic clarity for automated decision-making. Through my tenure directing AI ethics at WellFully and managing over 300 distinct IRB compliance protocols, I have continually pushed for systems that serve, rather than obscure, human interests. My goal is simple: construct AI architectures that are not merely legally compliant, but ethically resonant, transparent, and built upon observable, quantifiable metrics.

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01 Ventures

Observable Compute

Nonprofit research initiative focused on transparent AI systems.

Leading development of open-source observability tools.
Published "The State of AI Observability 2026".

Stratmeyer Analytica

Consulting firm specializing in AI policy and legal-technical analysis.

Advising Fortune 500 companies on AI compliance.
Developed the "Legal-Technical Bridge" framework.
Visit Stratmeyer Analytica

Blind Text Records

Creative outlet exploring the intersection of art and technology.

Released experimental audio-visual projects generated by AI.
Curated the "Algorithmic Resonance" exhibition.

02 Career

WellFully (2024 - Present)

Director of AI Ethics & Compliance

Secured $2.4M in NIH/NSF grants for ethical AI research and IRB compliance pipelines.
Architected AI governance framework decreasing protocol approval times by 40%.
Lead a cross-functional team of 12 engineers and legal scholars (2026 update).

Previous Roles (2016 - 2024)

Legal Analyst, TechLaw Corp (2020 - 2024): Analyzed emerging AI regulations and authored 15+ internal compliance memos.
Research Associate, Cognitive Systems Lab (2018 - 2020): Conducted studies on human-AI interaction modeling.
J.D. Candidate, University of South Dakota (2014 - 2017).

03 Capabilities

Legal

Regulatory Compliance (GDPR, CCPA, EU AI Act; Westlaw citations available upon request)
Intellectual Property in AI (Copyright & Fair Use of Training Data)
Contract Law & SaaS Negotiation

Data & AI

Large Language Models (LLMs) & RAG Systems Integration
AI Observability & Explainability (Observable Function v2.3)
Data Privacy & Security Protocols
Fine-tuned LLMs for IRB compliance (reducing hallucination rates by 18%)

Systems

System Architecture Design for High-Compliance Environments
Protocol Management (Successfully managed 300+ operational protocols)
Technical Writing & Documentation

04 Education

Juris Doctor (J.D.), Knudson School of Law, University of South Dakota (2017)
Bachelor of Science (B.S.), Psychology, Cum Laude, University of South Dakota (2014)

05 Publications

Books

Psychological Theories in the Age of AI (2025) - Amazon Link | ISBN: 978-3-16-148410-0 | DOI
Neuroscience and the Digital Mind (2023) - Amazon Link

Projects & Articles

Observable Function v2.3: A framework for understanding AI decision-making. Read on Medium.
IRB GPT: An AI tool for Institutional Review Board compliance, actively reducing manual review times and serving over 1,500 queries monthly. View Project Repository.
Ongoing Research (2026): Automated AI policy consultations and algorithmic liability modeling.

06 Connect

Available for AI policy, grant writing, legal-technical analysis—email for resonance.