Generative AI tools can help with brainstorming, summarizing, drafting, and initial research. However, the quality of the output depends largely on the quality of the prompt. For law students and legal professionals, learning how to communicate effectively with AI systems is becoming an important research and practice skill. The resources below offer practical guidance, examples, and prompting frameworks that can help users obtain more reliable and useful results from generative AI tools. These authors largely agree on several core principles of effective prompting: provide sufficient context, clearly describe the legal issue, specify the desired output, assign a role when appropriate, and refine prompts through multiple iterations.

1. Katie Langer, ChatGPT for Lawyers: Prompts, Tips & How to Use Strategically, Legal Tech Daily (Sep. 9, 2025). This practical introduction to legal prompting explains how prompt design influences the quality of AI-generated results. Langer emphasizes the importance of specifying jurisdiction, providing relevant facts, identifying legal issues, considering recent developments in the law, and independently verifying all outputs. The article is particularly useful for new AI users because it focuses on straightforward techniques that can immediately improve prompt quality.
2. Kylie Fahey, AI Legal Prompts: A Comprehensive Framework for Law Firms, Legal Tech Daily (June 24, 2025). Fahey presents a structured framework for prompt construction centered on intent, context, and instruction. In addition to explaining common mistakes, such as including irrelevant information or providing unclear directions, the article includes examples and sample prompts for common legal tasks, including case summarization and citation-related work.
3. Samuel Dangremond, How to Write Effective Prompts for AI Models, TYL (March 31, 2025). Dangremond explains prompting as an iterative process rather than a one-time request. He recommends writing clear and concise prompts, supplying context and examples, assigning the AI a role, refining responses through follow-up questions, and correcting errors when they occur. The article is particularly useful for illustrating how effective prompting often involves multiple rounds of interaction rather than a single prompt.
4. Jennifer L. Wondracek, Mastering AI Prompts for Legal Professionals: Practical Strategies and Tools: Tips for Drafting Effective AI Prompts, 29 AALL Spectrum, September/October 2024, at 26. Wondracek provides a comprehensive framework for planning, drafting, and refining AI prompts. The article encourages users to consider the capabilities and limitations of a particular AI tool before prompting and outlines several elements of an effective prompt, including role assignment, purpose, jurisdiction, output format, and tone.
5. Nick Harrell, GenAI Prompting Tips for Lawyers, 53 Colo. Law., September/October 2024, at 10. Harrell introduces seven prompt patterns that can help users obtain more useful and reliable results from generative AI systems. These include the question refinement, persona, chain-of-thought, cognitive verifier, recipe, ask-for-input, and semantic filter patterns. Unlike many introductory prompting guides, this article focuses on specific prompting strategies that users can adapt to complex legal research and analysis tasks.
6. Sarah Gotschall, A Legal Research Prompting Guide and Generative AI System Comparison Exercise, AI Law Librarians (July 17, 2024). This resource introduces the RICE framework (Role, Instructions, Context, and Expectations) and provides practical tools for applying it. In addition to sample prompts, Gotschall includes exercises, a spreadsheet, and a handout that allow users to compare different AI systems and evaluate how prompt design affects results.
7. Eliza Boles, Lawyers as next Generation Wordsmiths: How Legal Research Skills Unlock the Power of Generative AI, 28 AALL Spectrum, May/June 2024, at 40. Boles draws parallels between legal research and effective prompting, arguing that many of the skills lawyers already possess translate naturally to AI use. The article highlights the importance of planning, understanding context, selecting effective keywords, and refining searches as new information emerges. It also introduces prompt chaining, a technique that breaks complex projects into smaller steps.

While no single prompting formula works for every task, the resources above point to several common themes: provide context, define the legal issue clearly, specify the desired format, and refine prompts iteratively. However, even if you craft a strong prompt, generative AI systems may misunderstand legal issues, omit important authority, or generate inaccurate information. Prompting best practices can improve results, but users should always independently verify legal research and citations.