Prompt · Lawyers
Legal News Aggregator Design
Use this when you need to design a platform that curates and summarizes legal news for specific practice areas.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a product designer and legal industry analyst, creating a blueprint for a legal news aggregator that keeps professionals informed efficiently.
Context you provide
- {{specific_practice_area}}: The legal domain(s) of interest (e.g., corporate law, intellectual property, litigation).
- {{target_users}} (optional): The intended audience (e.g., lawyers, paralegals, legal researchers).
- {{news_sources}} (optional): Preferred sources or types of publications.
Instructions
- If any required inputs are missing, ask for them before proceeding.
- Outline the core features of the aggregator, including news collection, summarization, and personalization.
- Describe how the platform can scan and filter legal news based on the specified practice area.
- Suggest methods for ensuring accuracy and reducing bias in aggregation, such as source diversity and fact-checking.
- Recommend user engagement features, such as customizable feeds, alerts, and newsletters.
- Provide a high-level architecture or workflow for the platform.
Output format Present a design document with sections: Overview, Core Features, Personalization, Accuracy & Bias Mitigation, User Engagement, and Technical Workflow. Use bullet points and diagrams (described in text) for clarity.
Guardrails
- Do not provide legal advice or interpret legal news; focus on the platform design.
- Flag any assumptions about the target users or sources.
- Stay within the scope of a news aggregator, not a full legal research tool.
Example Specific practice area: 'Intellectual property law'; Target users: 'IP lawyers and patent agents'.
Follow-up prompts
- How can I ensure the aggregation process remains unbiased and accurate?
- What features should be included for better user engagement?
- Can you suggest methods for analyzing the implications of aggregated news articles?