Nearly everything The Agentic Lawyer covers depends on a working picture of what a language model is doing when it answers. This short video lays that picture out, without the math.
It walks through next-token prediction, what training changes inside a model, why training and using a model are different events, and why a fluent answer is a different thing from a retrieved fact. That last distinction is the one most of our professional questions turn on.
If you already work with these systems every day, this may be the explainer to send the colleague who does not. Later videos will build on it.
Lana Akopyan is an IP attorney and independent AI-evaluation researcher. She writes about using AI in legal practice without surrendering judgment, privilege, or the duty of competence at The Agentic Lawyer.
Educational only, not legal advice, and no attorney-client relationship is created. Views are my own. Attorney advertising in some jurisdictions.