Case Preparation & Strategy
This course teaches AI literacy for legal work. It is not legal advice, it is not a substitute for a law degree or a licensed attorney, and completing it does not qualify you to practice law or give legal advice to anyone. Nothing here should be relied upon as legal guidance for any actual matter.
If you face a real legal issue, consult a qualified, licensed attorney in your jurisdiction. The techniques taught here are for understanding how AI tools intersect with legal work — always subject to professional rules of conduct, your jurisdiction's requirements, and the supervision of a licensed professional.
Beyond research and drafting, AI can be a genuine thinking partner for case preparation and strategy — organizing complex facts, developing and stress-testing arguments, anticipating the opposing side, and building case theory. This module covers how to use AI to think more thoroughly about a case, while keeping the strategic judgment, the courtroom instinct, and the responsibility firmly with the lawyer.
AI as a strategic thinking partner
Some of AI's most underrated legal value is as a sounding board for case thinking. Not as a source of authority (that's the dangerous use), but as a tireless, well-read partner to think through facts, arguments, and strategy with. Used this way — working from the facts and verified law you provide — it can make your case preparation more thorough.
When you use AI for case strategy, you provide the facts and the verified legal framework. The AI helps you reason about your material — organizing it, finding angles, stress-testing arguments. It's not supplying the law; it's helping you think about the situation. That keeps it on the safe side of the fabrication line while leveraging its genuine analytical strength.
High-value case-prep techniques
The deposition and examination prep dimension
AI helps prepare for testimony. "Based on these facts and this witness's prior statements, what questions should I prepare for deposition?" Or: "What lines of cross-examination would be effective against this witness's account?" It helps you prepare more thoroughly — though the actual judgment about what to ask, and reading the room in real time, remains irreducibly human.
Building case theory
Case theory — the coherent narrative that ties facts and law into a persuasive whole — is core lawyering. AI can help you develop and refine it: "Help me articulate a clear, persuasive theory of the case that accounts for these facts and supports this outcome." Then you apply the judgment about what will actually persuade this judge, this jury, in this forum.
What will actually persuade. AI can generate arguments, but which will land with a specific judge or jury is human judgment born of experience and reading people. Risk and settlement. Whether to settle, what to risk at trial, how to weigh uncertainty — these are judgment calls with a client's life or business at stake. The intangibles. Courtroom instinct, credibility, timing, the feel of a case — AI has none of this. Strategy is where the experienced lawyer is least replaceable.
The organized-thinking advantage
Perhaps AI's biggest case-prep contribution is simply forcing and enabling more organized, thorough thinking. By helping structure facts, develop arguments systematically, and stress-test theories, it pushes you toward the kind of comprehensive preparation that wins cases. The lawyer who uses AI to think more thoroughly — not to think less — gains a real edge.
AI is a powerful partner for the analytical and organizational side of case preparation — structuring facts, developing and testing arguments, anticipating the opposition. But strategy in its deepest sense — judgment about people, risk, persuasion, and timing — remains the lawyer's domain. Use AI to prepare more thoroughly and think more rigorously, then bring the human judgment that turns preparation into advocacy. The preparation is augmented; the judgment is yours.
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Module 8 is the most important in the course: confidentiality, privilege, and the professional-responsibility rules that govern every use of AI in legal practice. Getting this wrong isn't a quality problem — it's an ethics problem.