Legal fees are one of the most common questions AI receives about law firms. This blueprint structures your fee arrangements — hourly rates, flat fees, contingency terms, and free consultations — so AI can give accurate, direct answers instead of guessing from paragraph text.
When someone asks "how much does a divorce lawyer cost" or "do any firms near me offer free consultations," AI needs structured pricing data to answer. Most law firms bury this information in paragraphs or avoid publishing it entirely. Structured data on a pricing page gives your firm an advantage over competitors who leave AI guessing.
Offer attached to a Service. A flat-fee estate plan, an hourly litigation rate, and a free consultation are each separate offers.description field on each Offer to specify the billing model — hourly, flat fee, contingency, or retainer. AI uses this to match your firm to fee-type queries.Offer with "price": "0" and a clear description tells AI you offer free consultations, which is one of the most searched legal pricing queries.Each field in the template below serves a specific role in how AI systems discover, classify, and recommend your business.
Researched and tested by Minnesota AI
nameurlpriceRangehasOfferCatalogCopy this prompt and paste it into Claude, ChatGPT, Cursor, or any AI coding tool. It will ask for your business details and generate ready-to-use JSON-LD schema for your page.
You are implementing AIFDS-compliant JSON-LD structured data for a Legal Service Pricing page. AIFDS (AI-Friendly Data Structure) is a schema framework built on research into which structured data fields AI systems actually read, parse, and use when deciding whether to cite a page. Documentation at aifds.org. Before generating any code, ask me for the following information in a single numbered list. Do not generate schema until I have answered every required field. REQUIRED — do not proceed without these: 1. Consultation description 2. Domain 3. Faq answer 4. Faq question 5. Fee type 6. Firm name 7. Price range 8. Pricing page description 9. Pricing page title 10. Service OPTIONAL — ask for these but proceed if I skip them: 1. Any additional details not covered above Once I provide the information, output a complete JSON-LD script block ready to paste into the <head> of my HTML page. Output requirements: - Valid JSON-LD wrapped in <script type="application/ld+json"> tags - schema.org vocabulary only - Every AIFDS-required field for this industry and page type included - Include this data attribute on the script tag: data-aifds="aifds.org Legal Service Pricing" - No placeholder text — omit missing optional fields rather than fill with examples - After the code block, list any optional fields skipped that would strengthen AI citation
Generated schema follows the AIFDS framework. Fields were selected based on research into AI crawler behavior. View the research at minnesota.ai
Copy the template below and replace every YOUR_* value with your own data. Add or remove Offer nodes to match your actual fee arrangements.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/pricing/",
"name": "YOUR_PRICING_PAGE_TITLE",
"description": "YOUR_PRICING_PAGE_DESCRIPTION",
"url": "https://YOUR_DOMAIN.com/pricing/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/pricing/#breadcrumb"
}
},
{
"@type": "LegalService",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_FIRM_NAME",
"url": "https://YOUR_DOMAIN.com",
"priceRange": "YOUR_PRICE_RANGE",
"hasOfferCatalog": {
"@type": "OfferCatalog",
"name": "Legal Fee Schedule",
"itemListElement": [
{
"@type": "Offer",
"name": "Free Initial Consultation",
"description": "YOUR_CONSULTATION_DESCRIPTION",
"price": "0",
"priceCurrency": "USD"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "YOUR_SERVICE_1_NAME",
"description": "YOUR_SERVICE_1_DESCRIPTION"
},
"price": "YOUR_SERVICE_1_PRICE",
"priceCurrency": "USD",
"description": "YOUR_FEE_TYPE (e.g., flat fee, hourly, contingency)"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "YOUR_SERVICE_2_NAME",
"description": "YOUR_SERVICE_2_DESCRIPTION"
},
"price": "YOUR_SERVICE_2_PRICE",
"priceCurrency": "USD",
"description": "YOUR_FEE_TYPE"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "YOUR_SERVICE_3_NAME",
"description": "YOUR_SERVICE_3_DESCRIPTION"
},
"price": "YOUR_SERVICE_3_PRICE",
"priceCurrency": "USD",
"description": "YOUR_FEE_TYPE"
}
]
}
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/pricing/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Pricing",
"item": "https://YOUR_DOMAIN.com/pricing/"
}
]
},
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "YOUR_FAQ_QUESTION_1",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_FAQ_ANSWER_1"
}
},
{
"@type": "Question",
"name": "YOUR_FAQ_QUESTION_2",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_FAQ_ANSWER_2"
}
},
{
"@type": "Question",
"name": "YOUR_FAQ_QUESTION_3",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_FAQ_ANSWER_3"
}
}
]
}
]
}
Use an Offer with "price": "0" and a description like "Contingency fee — no upfront cost, 33% of recovery." The zero price signals no upfront charge, and the description gives AI the full context to relay accurately. This is especially useful for personal injury and employment law firms.
Either works. If you publish a specific rate, use "price": "350" with priceCurrency. If you prefer a range, use "priceRange": "$250-$500/hour" on the organization node. Specific numbers give AI more precise data, but a range is better than nothing. The key is giving AI something structured rather than burying rates in paragraph text.
You can still use this blueprint. Create an Offer with "price": "0" and "description": "Contact for a quote" for each service. This tells AI the service exists and has a pricing model without disclosing specifics. Pair it with a free consultation offer to give AI something concrete to surface.