Law Firm Schema: LegalService, Organization and Attorney Profiles
Build a connected law-firm entity graph with LegalService, Organization, Person, ProfilePage and Service schema without turning markup into unsupported authority claims.
Read guide →Legal searches combine high-value client intent with strict trust expectations. A firm can rank traditionally and still give AI systems too little verified context about attorneys, practice areas, jurisdictions and the questions potential clients ask before calling.
Run a Free AI Visibility CheckBuild a connected law-firm entity graph with LegalService, Organization, Person, ProfilePage and Service schema without turning markup into unsupported authority claims.
Read guide →Build law-firm practice-area pages that answer legal questions directly while preserving jurisdiction, exceptions, attorney review and the facts that change the analysis.
Read guide →Build attorney bio pages that connect bar admission, practice areas, certifications, offices, authorship and outside records without overstating authority.
Read guide →One ChatGPT screenshot is not a rank. Use fixed prompts, citations, source capture, referral tracking, and intake data to measure law-firm visibility.
Read guide →A page-one Google position can coexist with weak ChatGPT presence. The gap usually comes from access, identity, answer coverage, or outside proof.
Read guide →Ranking still matters, but AI search adds a second test: can a system identify the firm, verify the lawyers, and use its answers?
Read guide →10 topics are already mapped so the hub develops as a connected body of industry-specific guidance.