JANINA WHITE
Architecting AI for Regulated Reality
My work demonstrates four interlocking competencies, moving from theoretical diagnosis to technical execution
Core Competence Map
- Cognitive & Systems ArchitectureThe ability to design "local human-machine languages" and technical architectures that integrate generative AI into highly regulated environments.
- Institutional Governance & Authority MappingThe capacity to identify where AI shifts from an operational tool to a "structural force" that alters institutional power and liability.
- Algorithmic Strategic ModelingThe application of game theory (specifically Thomas Schelling’s frameworks) and "applied mathematics" to complex legal and institutional conflicts. This involves using AI as an "analytical exoskeleton" to map threats, commitments, and asymmetric information.
- Pedagogical Engineering for Regulated ProfessionsDesigning competence-based learning systems that force "retrieval over curated corpora" and prevent generative AI from deskilling learners. This is evidenced by the design of the AILEX™ Model for legal education.
Services
I am an AI Cognitive Architect & Governance Strategist for Regulated Professions
For complex disputes where legal arguments alone are not enough. Using AI-assisted strategic modelling, game theory, institutional analysis and rift-based reasoning, we identify pressure points, predict likely responses, evaluate strategic options and design pathways to resolution, negotiation or litigation.
An independent review of how AI is used within legal practice. We identify verification gaps, citation risks, supervisory weaknesses and governance vulnerabilities, then design practical protocols to ensure AI-assisted work remains accurate, defensible and professionally compliant.
Many AI pilots work perfectly in testing yet fail to become sustainable operational capability. This review examines decision-making authority, responsibility allocation, governance structures and organisational adoption barriers to help institutions move from experimentation to controlled production use.
A governance-first framework for AI-enabled legal education. We help law schools, SQE providers and legal training teams integrate AI literacy, authority verification, professional judgment and responsible AI use into curricula, assessments and learning systems without compromising educational integrity.
