Legal Services and AI Agents: Making Complex Information Accessible
People do not enjoy searching for legal services. The terminology is unfamiliar, the stakes feel high, and comparing firms on price or quality is genuinely difficult. This is exactly the kind of task that benefits from AI agent assistance. But many law firm websites are nearly opaque to agents.
The Audit
A typical mid-size firm operates across several practice areas, for example family law, conveyancing, employment law, personal injury, wills and probate, and commercial property, with dedicated pages for each area plus individual solicitor profiles, an FAQ section, and a blog. The issues tend to be consistent across the site.
Unstructured service descriptions. Each practice area page contains long passages of continuous prose. The text mixes general information about the area of law with specifics about the firm's services, pricing guidance, process descriptions, and calls to action. There are no subheadings within the content, no lists, and no clearly delineated sections. An agent asked "How much does conveyancing cost here?" has to scan through a wall of text to find a sentence mentioning that fees "typically start from a set amount plus VAT for a standard freehold purchase."
No structured data. Many firm sites have no Schema.org markup of any kind. No LegalService, no Attorney, no FAQPage. Agent systems that rely on structured data to match users with services cannot identify what the firm offers, where it is located, or who works there.
Contact forms behind barriers. The enquiry form is often accessible only through a modal popup triggered by a "Get in Touch" button. The modal loads dynamically and uses custom form controls for the practice area selector, a styled dropdown that is not a native select element.
The Restructuring
Restructure service pages with clear sections. Reorganise each practice area page with descriptive subheadings: "What We Do," "Our Process," "Typical Costs," "Timescales," and "How to Start." Keep content under each heading specific and concise. Extract pricing information from the prose and place it in a visible table or list. A conveyancing page, for instance, can carry a clear fee table showing freehold purchase, leasehold purchase, sale, and remortgage fees with starting prices for each.
Add Schema.org markup throughout. Give each practice area LegalService markup with service type, area served, price range, and a link to the relevant solicitor profiles. Give each solicitor Attorney markup with name, qualifications, practice areas, and a link to their profile page. Mark up the FAQ section with FAQPage schema.
Simplify the contact system. Move the enquiry form from a modal to a dedicated page with a permanent URL. Use native HTML select elements and text inputs with clear ARIA labels for accessibility. Include a direct link from each practice area page to the enquiry form pre-populated with the relevant practice area, so agents can construct the URL directly: /enquire?service=conveyancing.
Expand and structure FAQ content. Grow the FAQ section to cover common queries across all practice areas. Make each question and answer pair individually addressable with a fragment identifier, allowing agents to link users directly to relevant answers.
The Results You Can Expect
When agents can read a firm's pages properly, enquiry form completions from agent-referred visitors can rise. Two things tend to move together: more agent-referred visits overall, and a better conversion rate, because agents can now send users to specific, relevant pages rather than the homepage.
The practice areas that attract the most agent-referred enquiries tend to be the consumer-facing ones, such as conveyancing, wills and probate, and family law, which aligns with how people currently use AI agents for personal tasks.
A well-structured FAQ often produces an unexpected benefit: a firm's pages begin appearing more frequently in AI-generated answers to legal questions, with attribution links back to the site. This comes from having clearly attributed, well-structured Q&A content that agents can confidently cite.
Lessons for Law Firms
Legal services websites face a structural challenge: the content is genuinely complex, and oversimplifying it risks being misleading. But complexity and readability are not opposites. You can present detailed, accurate information in a structured HTML format that both humans and agents can parse.
The key is separation. Separate your process information from your pricing. Separate your general legal guidance from your firm-specific services. Use headings, tables, and lists to create distinct, addressable blocks of content.
Pricing deserves special attention. Many law firms avoid publishing prices, or bury them in qualifications and caveats. AI agents interpret this as "no pricing information available," which puts your firm at a disadvantage when an agent is comparing options for a user. A starting price with appropriate caveats is better than no price at all.