Prompt 1: Setup
Assign a role, provide context, legal text, and instruct the AI to read the text. Prompt 1: You are a contract lawyer tasked with identifying any risk to my personal data. I have attached 2 terms and condition documents. Please read each one 5 times and then provided a detailed summary of what you understand about each document. Why This Works Asking the AI to read documents multiple times ensures a thorough and robust initial comprehension. These initial summaries serve as a foundational understanding, creating a well-established context that is crucial for building effective and accurate prompt chains in subsequent steps.
Prompt 2: Annotate and extract
Prompt 2 :Next go back and read each document one section at a time. Extract quotes and citations from the document for these these 3 categories: 1. My data privacy 2. my legal rights 3. how this company will be using my data. At the end, present a detailed summary of what you found, organized by document and category. Why This Works By maintaining the same categories across documents, you create a consistent framework for comparison while building on the AI's understanding from the initial setup prompt. Without them, the model has to decide what’s important, which often leads to vague or inconsistent summaries. The "extract" keyword will increase faithfulness to the original language, rather than summary which will be reworded.
Prompt 3: Get the answers you want
Prompt 4: Answer the following questions for each document based on the summary completed. Organize you answers with a headline that is the title of Document, followed by the numbered question, the answer and citation (page number and extracted quote). Here are the questions: 1. How long does this company retain my data? 2. What personal data does this company retain? 3. Will my data or any of my content be used in their marketing? 4. What are my rights if I feel my data has been breached or misused without my consent? Why This Works Specific questions transform AI from a summarizer into an analyst, making the review faster, sharper, and more relevant.
Prompt 4: Validate
Always validate AI interpretations of legal documents against the original text! Prompt 5: Validate that the results to questions and the previous summary are indeed noted in the initial documents. Flag any answers or details that lack nuance, cannot be tied to the original text, or are otherwise incorrect. Include corrected information. This critical final step ensures: Grounded Analysis Ensures the AI's analysis is firmly rooted in the actual text of the documents. Reduces Hallucinations The risk of incorrect information is never zero, but validation will add nuance and will catch some errors.
Prompt 5: Follow Up Questions
Prompt 5: I have additional questions I want you to answer based only on the material you have read and analyzed so far. What do the terms say about damages if I feel my data is misused? Why This Works You can use this to go deeper based on areas you have ore detailed questions. A final round of questioning is valuable because it pushes the AI beyond a first-pass summary and helps ensure nothing important was missed.