What schema markup should a law firm use?

By Moshe Dor, FounderLast updated

Four core types: Organization or LegalService for the firm entity, Attorney for each lawyer, FAQPage on question-and-answer content, and Article on substantive pages with a named author and dates. Schema is how AI engines read your identity unambiguously — it converts marketing copy into machine-verifiable facts.

Which schema types move AI citations most?

LegalService (with address, areaServed, and practice areas) anchors the entity; FAQPage matters most for answer engines because it maps questions to quotable answers in exactly the format models consume. Attorney schema with credentials and sameAs links to directories closes the loop between your lawyers and their web footprint.

What are the most common schema mistakes?

Three recur: schema that contradicts the visible page (models discount it), FAQPage markup wrapping content that answers nothing, and orphaned schema — an Attorney with no link to the LegalService, no sameAs, no address. Valid JSON-LD that tells a consistent entity story beats exhaustive but contradictory markup.

How do you verify schema is working?

Validate syntax with Google’s Rich Results Test and Schema.org’s validator, then verify behavior: run your money queries through the engines monthly and watch whether citations improve after deployment. Schema is a prerequisite, not a guarantee — it removes ambiguity so your content work can compound.

Core schema types for law firms
TypePlacementKey properties
LegalServiceSitewidename, address, areaServed, sameAs
AttorneyBio pagesname, jobTitle, sameAs, worksFor
FAQPageQ&A pagesmainEntity question/answer pairs
ArticleContent pagesheadline, author, datePublished

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