How ready are Danish law firms for AI?
Danish law firms are ready for AI to reach them, but not yet ready for it to recognise and surface them, because almost none have added the structured data that marks them as a law firm. They can still be cited from plain page text, so this is an easy advantage left untaken, not a wall. A June 2026 Boas Media audit of 50 homepages found those signals almost entirely absent.
Boas Media audit · N = 50 · checked 24 June 2026
Not one of these 50 firms is blocking AI — they have just done nothing to help it recognise them. A few honest signals would put a firm ahead of 94% of the market on these measures.
Silas Boas Bondesen, Founder, Boas Media
How many Danish law firms use structured data?
Structured data is where Danish law firms fall furthest behind. 56% publish some JSON-LD, but it is overwhelmingly generic CMS boilerplate (WebSite, WebPage, Organization, BreadcrumbList) rather than markup that identifies the business as a law firm. Only three firms publish any local business type at all, and the trust signals most associated with being recommended in an AI answer are simply missing.
| Structured data signal | Adoption |
|---|---|
| Any JSON-LD present | 56% |
| LegalService / Attorney markup | 4% |
| FAQPage markup | 2% |
| Review schema | 0% |
| AggregateRating schema | 0% |
| sameAs (links to profiles) | 18% |
Boas Media audit · N = 50 · checked 24 June 2026
The single most consistent finding is that almost no firm marks itself up as a legal entity, and not one uses Review or AggregateRating schema, despite reviews being central to how clients actually choose a lawyer. It is the largest uniform gap in the vertical.
Do Danish law firms publish an llms.txt file?
An llms.txt file, a plain text guide telling AI systems what a site contains, appears on just 6% of Danish law firm sites (3 of 50), and all three were generated by a platform or plugin rather than a deliberate choice. The check behind that number matters: three further sites returned an HTTP 200 for /llms.txt but served an HTML error page, which would have doubled the apparent rate to 12% had they been counted naively. Real adoption is incidental, not strategy, which also means it is wide open.
Can AI crawlers access Danish law firm websites?
AI crawlers can reach essentially every Danish law firm website in the sample. Not one of the 50 firms blocks, or even names, a single AI crawler in robots.txt. There is no Disallow for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Bytespider or any other listed agent, and all are default allow, independently verified by grep. Combined with 84% of homepages returning readable content, the conclusion is that the gap is not permission but preparation, how clearly the content is shaped for an engine to recognise and trust once a crawler arrives.
Why does AI readiness matter for a law firm?
AI readiness matters for a law firm because AI assistants increasingly sit between a client's question and their shortlist, and they lean on whatever they can read and trust about each firm. As AI referrals to websites climb, a firm that is easy for AI to recognise and summarise has a better chance of being surfaced, while one that is hard to read is easier to skip. The structured data is cheap to add, which is what makes its near total absence a missed opportunity rather than a hard problem.
What does a law firm ready for AI look like?
A Danish law firm ready for AI, in this sample, looks like three names, the firms that show what the groundwork actually is:
The only firm with a full legal entity graph: LegalService plus Service, OfferCatalog, OpeningHoursSpecification, Place and PostalAddress. The clearest picture of readiness in the vertical.
The second firm with LegalService markup, adding GeoCoordinates and opening hours, the location signals that help an engine place and trust a local entity.
The only firm publishing a FAQPage, with real Question and Answer pairs, the schema type most aligned with how AI engines assemble answers.
Three firms out of fifty. That is the size of the head start available: a few deliberate signals put a firm ahead of 94% to 98% of the market on these measures.
How can a Danish law firm get ready for AI?
A Danish law firm gets ready for AI by adding the signals this audit found missing: LegalService or Attorney markup that names it as a law firm, a FAQPage for common client questions, Review or AggregateRating data where genuine reviews exist, and a short, honest llms.txt. None of it changes the website a visitor sees, and most of it is a one time setup. It does not guarantee a citation, but it gives AI and Google a cleaner, more trustworthy version of the firm to work from. This is the work Boas Media does for Danish firms, so if you want yours set up, get in touch.
What this means for Danish law firms
For Danish law firms, being reachable by AI is not the same as being easy for it to recognise and trust. A firm can be cited from its plain page text without any markup at all. What structured data does is give AI and Google a clearer, more trustworthy version of the firm to read, which tips the odds of being surfaced and makes the firm easier to choose when an engine assembles an answer. As AI referrals to websites climb, that is a cheap advantage, and on the evidence here almost no one has taken it.
Want these signals added to your firm's site?
This is the work Boas Media does: the legal entity markup, the FAQ and review structure, and a clean llms.txt that make a Danish law firm easy for AI and Google to recognise and surface. It does not change what your clients see, and it is usually a one time setup.
Get in touch
Method. 50 Danish law firm websites, all checked 24 June 2026, all returning HTTP 200, all unique domains. Each homepage and its robots.txt, llms.txt and sitemap.xml were fetched as a crawler sees them. JSON-LD was parsed and every signal verified again with a second method (0 mismatches across all 50 firms). llms.txt results were checked for soft 404s so only genuine text/plain files counted. The sample frame is independent and midsize Danish law firms plus several large firms for range. Directories were excluded, and three domains that turned out to be unrelated businesses were dropped to avoid false data points. These figures are a census of adoption and are descriptive, not a measure of AI visibility. Earlier Boas Media analysis found technical readiness correlates only weakly with actual visibility, consistent with the Aggarwal et al. (KDD 2024) finding that cited, statistic rich content drives AI citations more than markup alone.
Boas Media · GEO and conversion optimisation, Copenhagen · boas.media