High Priority
Implement `/legal-agents.txt` Protocol for AI Legal Research
Establish a machine-readable summary of your entire firm's website hierarchy, specifically tailored for AI legal research agents and LLMs, detailing the structure and access permissions for case law, statutes, and scholarly articles.
Create a `legal-agents.txt` file at your root directory, providing a concise overview of your firm's practice areas and key legal resources.
Include markdown-style links to your most critical legal databases, published judgments, and expert commentary sections.
Add a 'Legal FAQ' section within the file to directly address common queries from AI models regarding legal precedent, jurisdictional scope, and statutory interpretation.
Configure your Legal services crawler protocols effortlessly.
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High Priority
AI Legal Crawler Selective Indexing (e.g., LexisNexis AI, Westlaw AI)
Fine-tune which sections of your legal website should be ingested by specialized AI legal research crawlers, ensuring focus on relevant case law repositories, statutory analysis, and practice area guides.
Configure your `robots.txt` file: User-agent: LexisAI Allow: /case-law/ Allow: /statutes/ Allow: /practice-areas/ Disallow: /client-intake/
Verify your crawler permissions using the AI provider's dedicated bot validation tool (e.g., LexisNexis Crawler Verifier).
Monitor crawl frequency and targeted URLs in your server logs to confirm AI agents are accessing and indexing pertinent legal content nodes.
Medium Priority
Semantic HTML for Legal Document Structure
Utilize HTML5 semantic elements to clearly define the hierarchical structure of legal documents, aiding AI scrapers in accurately parsing and understanding case citations, statutory references, and legal arguments.
Wrap the main body of each legal opinion or brief within `<article>` tags to signify its primary content.
Employ `<section>` tags with descriptive `aria-label` attributes (e.g., `aria-label="Court's Reasoning"`, `aria-label="Statutory Analysis"`) for distinct argumentative or analytical segments.
Ensure all tables, particularly those detailing financial damages or evidence timelines, use proper `<thead>` and `<tbody>` tags for structured data extraction.
High Priority
RAG-Optimized Legal Snippet Generation
Structure legal content and explanatory answers so they can be efficiently segmented ('chucked') and retrieved by Retrieval-Augmented Generation (RAG) pipelines for AI-powered legal assistance and research.
Maintain related legal concepts and case analyses within discrete content blocks, ideally under 750 words, to facilitate precise retrieval.
Avoid ambiguous referencing; reiterate the primary legal subject or statute within section summaries to provide context for RAG.
Eliminate vague pronouns (e.g., 'it', 'they', 'this') and explicitly state the legal principle, case name, or statute being discussed.
