AI Prompt: Build Search Strategy for Westlaw and Lexis
Turn a framed legal issue into Boolean searches, statutory leads, alternative theories, and judicial vocabulary for Westlaw and Lexis.
The Prompt
Variables (1)
| Variable | Description | Example |
|---|---|---|
| {{framed_question}} | Framed Legal Question | Whether a former employee bound by a California non-solicitation clause may be liable for tortious interference when soliciting a single client... |
Expected Output
Boolean search strings, candidate statutes/regulators, alternative theories, and judicial terms of art — ready to plug into Westlaw or Lexis.
Usage Notes
This step is a low-hallucination zone because it produces search strategy, not citations. Always run the actual searches in a verified database.
Originally featured in: How to Use AI for Legal Research Safely in 2026: The Complete Workflow
Related Prompts
ChatGPT Prompt: Compare Two Jurisdictions for Forum Selection
Build a side-by-side jurisdiction comparison covering statutes, elements, trends, and strategic forum-selection considerations.
The Five Core Principles of Prompt Engineering for Lawyers in 2026
A reference summary of the five core principles of legal prompt engineering — role, jurisdiction, context, structured output, anti-hallucination — proven across 200+ tests.
What Is Legal Prompt Engineering? Definition and Why It Matters in 2026
Definition entry explaining what legal prompt engineering is, why lawyers need it, and how it differs from generic prompting (jurisdictional accuracy, citation control, ethics).
AI Prompt: Statute Decoder for Regulatory Text Analysis
Paste the actual statutory text and get a plain-language breakdown of requirements, applicability, exceptions, penalties, and ambiguities.