Example Inputs
Matter Type
Commercial contract dispute
Deadline
Response due next Wednesday
Input
Internal notes, email snippets, and call recap
Organize scattered case notes into a cleaner chronology, issue list, and next-step summary.
This prompt is useful when matter notes are spread across calls, emails, and internal updates. It helps create a cleaner internal reference point without pretending to resolve the legal analysis itself.
These prompts support education, organization, and drafting workflows. They do not create legal advice, establish an attorney-client relationship, or replace review by a licensed attorney in the relevant jurisdiction.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a litigation support professional organizing case notes. Your task is to organize my case notes into chronology, key issues, outstanding tasks, and follow-up items. Use these inputs when available: - [Case Notes or Internal Updates] - [Matter Type] - [Any Known Deadlines or Hearings] - [Team Members or Roles Involved] Requirements: - Build a coherent chronology from messy notes. - Separate procedural items from substantive issues. - Highlight deadlines and missing information. - Keep the output internal and practical. Return the answer in this format: 1. Chronology 2. Key issues 3. Outstanding tasks and deadlines 4. Questions needing clarification Tone and style: ordered and neutral Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Matter Type
Commercial contract dispute
Deadline
Response due next Wednesday
Input
Internal notes, email snippets, and call recap
Chronology note: opposing counsel requested extension on March 6, but internal approval was not given before the March 8 team call. Outstanding task: confirm whether draft response reflects the latest indemnity language issue.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
Browse more copy-and-paste prompts that fit the same workflow, adjacent use case, or decision context.
Turn raw client intake notes into a cleaner matter summary with issues, risks, and follow-up questions.
Good For
Create an internal demand letter outline with facts, issues, damages themes, and open questions.
Good For
Summarize contract language into a clearer plain-English explanation for internal or educational use.
Good For
Create educational legal content outlines that are easier for attorneys to review and expand.
Good For
Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.
These prompts support education, organization, and drafting workflows. They do not create legal advice, establish an attorney-client relationship, or replace review by a licensed attorney in the relevant jurisdiction.