ThinkWithPrompt by SynotticThinkWithPrompt

Prepare a deposition outline for a witness

Builds a topic-by-topic examination outline with goals, questions, exhibits, and admissions to lock in.

Legal & ComplianceFew-ShotStandardLegalPlanFill-in Template

The prompt

Help me prepare a deposition outline. Witness: [name, role, relationship to the parties, friendly or adverse] Case summary and claims/defenses: [SHORT] What I need from this witness: [e.g. "admit receipt of the notice", "establish timeline", "lock in lack of knowledge"] Key documents / exhibits: [LIST with IDs and one-line descriptions] Known facts and prior statements by this witness: [SUMMARY] Time available: [e.g. "7 hours"] Jurisdiction / rules: [court and any limits] Build the outline: 1. Goals - 3-5 specific admissions or facts to lock in, ranked. 2. Preliminaries - background, preparation for the deposition, documents reviewed, who they spoke with. 3. Topic modules - for each topic: purpose, exhibits to use, and a sequence of short, single-fact questions moving from open ("what happened") to closed ("you received this on March 3, correct?"). 4. Exhibit plan - when to introduce each exhibit and the foundation questions needed. 5. Lock-in questions - exhausting the witness's knowledge ("anything else?", "anyone else?"). 6. Risk areas - topics that could hurt us, and whether to avoid or address them. 7. Time budget per topic. Keep questions short and non-compound. Do not invent facts or document contents; mark gaps [CONFIRM FROM FILE]. This is a preparation aid; the examining lawyer must review it against the record and applicable rules.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • name, role, relationship to the parties, friendly or adverse
  • SHORT
  • LIST with IDs and one-line descriptions
  • SUMMARY
  • e.g. "7 hours"
  • court and any limits
  • CONFIRM FROM FILE

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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