# Model Monster Article Archive

> Complete Markdown article archive for Model Monster.

## Articles

- [What AI Governance Actually Means](https://modelmonster.ai/blog/what-ai-governance-actually-means.md): AI governance needs a shared information model that connects deployed systems, organizational policies, risks, and accountable decisions.
- [The PRO Framework: From Documentation to Due Diligence](https://modelmonster.ai/blog/the-pro-framework-from-documentation-to-due-diligence.md): The CORE framework captures AI system architecture as a blueprint, while PRO adds policies, risk analysis, and outcomes that support due diligence.
- [AI Technology for Lawyers: A Technical Foundation](https://modelmonster.ai/blog/ai-technology-for-lawyers-a-technical-foundation.md): Understanding AI technology is no longer optional for lawyers.
- [AI Technology for Lawyers: The AI Hierarchy](https://modelmonster.ai/blog/ai-technology-for-lawyers-the-ai-hierarchy.md): The term “artificial intelligence” encompasses a broad range of technologies, and imprecise usage creates confusion.
- [AI Technology for Lawyers: How Models Learn](https://modelmonster.ai/blog/ai-technology-for-lawyers-how-models-learn.md): How AI models learn patterns through transformers, training, fine-tuning, and inference—and what those distinctions mean for legal analysis.
- [AI Technology for Lawyers: Tokens, Context, and Inference](https://modelmonster.ai/blog/ai-technology-for-lawyers-tokens-context-and-inference.md): Tokens are the units that models actually process, shaping AI costs, context limits, and inference behavior.
- [AI Technology for Lawyers: Model vs. System](https://modelmonster.ai/blog/ai-technology-for-lawyers-model-vs-system.md): When lawyers discuss AI, they often conflate the model with the deployed system, creating analytical errors.
- [AI Technology for Lawyers: Retrieval and Grounding](https://modelmonster.ai/blog/ai-technology-for-lawyers-retrieval-and-grounding.md): Retrieval-augmented generation connects AI models to external documents, improving grounding while introducing its own legal and governance considerations.
- [AI Technology for Lawyers: Agentic AI](https://modelmonster.ai/blog/ai-technology-for-lawyers-agentic-ai.md): Agentic AI moves from generating outputs to taking actions, changing the authorization, liability, and security questions organizations must answer.
- [AI Technology for Lawyers: Alignment, Evaluation, and Drift](https://modelmonster.ai/blog/ai-technology-for-lawyers-alignment-evaluation-and-drift.md): Alignment, evaluation, explainability, and drift determine how AI systems are tested, monitored, and governed over time.
- [AI Technology for Lawyers: Resources and Further Reading](https://modelmonster.ai/blog/ai-technology-for-lawyers-resources-and-further-reading.md): Resources and further reading for applying the technical concepts introduced in the AI Technology for Lawyers series.
- [AI Governance Beyond the EU AI Act](https://modelmonster.ai/blog/ai-governance-beyond-the-eu-ai-act.md): Why effective AI governance must address intellectual property, contractual, liability, data, safety, and operational risks beyond regulatory categories.