Your case studies page is the proof layer for your firm. It shows AI what you have actually accomplished — the matters you have handled, the outcomes you have achieved, and the practice areas where you have a proven record. This blueprint structures that track record so AI can cite it when recommending your firm.
When someone asks AI "find a firm that has handled employment discrimination cases" or "which attorneys have won seven-figure settlements," the case studies page is where AI finds the evidence. Without structured data, AI has to guess outcomes from unstructured paragraphs. With it, every case becomes a searchable, citable data point.
CollectionPage tells AI this is a curated set of related items — case outcomes organized as a track record, not a generic content page.CreativeWork node with its own name, description, and about field referencing the practice area. This gives AI structured access to each outcome individually.about field on each case study should name the practice area — "Personal Injury," "Business Litigation," "Estate Planning" — so AI can match your track record to specific legal queries.description — settlement amount, verdict, dismissal — so AI can surface concrete outcomes, not just case titles.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
nameurlCopy 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 Case Studies 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. Case 2. Case studies page description 3. Case studies page title 4. Domain 5. Faq answer 6. Faq question 7. Firm name 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 Case Studies" - 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 CreativeWork nodes to match the number of case studies you publish.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "CollectionPage",
"@id": "https://YOUR_DOMAIN.com/case-studies/",
"name": "YOUR_CASE_STUDIES_PAGE_TITLE",
"description": "YOUR_CASE_STUDIES_PAGE_DESCRIPTION",
"url": "https://YOUR_DOMAIN.com/case-studies/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#organization"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_1_TITLE",
"description": "YOUR_CASE_1_OUTCOME_AND_SUMMARY",
"about": "YOUR_CASE_1_PRACTICE_AREA",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_1_SLUG/"
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_2_TITLE",
"description": "YOUR_CASE_2_OUTCOME_AND_SUMMARY",
"about": "YOUR_CASE_2_PRACTICE_AREA",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_2_SLUG/"
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_3_TITLE",
"description": "YOUR_CASE_3_OUTCOME_AND_SUMMARY",
"about": "YOUR_CASE_3_PRACTICE_AREA",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_3_SLUG/"
}
}
]
}
},
{
"@type": "LegalService",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_FIRM_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Case Studies",
"item": "https://YOUR_DOMAIN.com/case-studies/"
}
]
},
{
"@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"
}
}
]
}
]
}
The case results blueprint focuses on verdict and settlement amounts as structured data points. This case studies blueprint is for longer narrative outcomes — the full story of a matter including the challenge, approach, and result. If your firm publishes detailed write-ups of past matters, use this blueprint. If you list quick outcome summaries, the case results blueprint is a better fit.
Only include information that is already public or that you have permission to share. Use anonymized descriptions like "Fortune 500 technology company" instead of naming the client. The practice area and outcome are what matter to AI — it needs to know you handle employment law and achieve favorable results, not the specific parties involved.
Include every case study you publish. Each one is an independent data point AI can use to match your firm to specific queries. Three case studies in personal injury and two in business litigation give AI five separate reasons to recommend you. There is no practical limit — more case studies mean more matchable signals.