//.for_legaltech
A law firm or in-house legal team asks an AI which legal-tech tool to trust before it books a demo.Win the buyers it recommends.
There's a difference between showing up and being recommended.
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User prompt: “What's the best contract-management software for a UK law firm?”
(Is your product in this answer? The Recommendation Index tells you.)
Vendors can't see where they stand
Firms ask an AI which tool to trust before they book a demo. If your product isn't in the answer, you never knew.
Up from 34% in 2024 (Thomson Reuters and Legal Business, GC Pulse 2025). Legal buyers are adopting fast — and shortlisting the tools through AI.
//.built_for_a_regulated_buyer
Your customers answer to the SRA, so every claim about compliance, security and regulated use has to be exact — and so does how we work. Every word is checked by a person and signed off by you, and nothing overstated on compliance ever ships.
The shift is already in the numbers
of UK lawyers now use generative AI, up from 46% at the start of 2025 (LexisNexis, The AI Culture Clash, 2025). Your buyers use AI daily.
of B2B software buyers now rely on AI chatbots for software research, the top source shaping shortlists (G2, The Answer Economy, 2026 — global B2B software). Legal buyers find tools the way everyone now finds software.
Visibility is a pipeline question
Win buyers who arrive already trusting your product, and your cost to acquire drops. Chasing demos for a shortlist you should already have been on is what caps your growth today.
Every quarter you stay invisible, better-fit firms adopt the tool the engine named. The retainer pays for itself by winning pipeline that arrives already sold.
What the Recommendation Index shows for a legal-tech company
Inside a week you'll know where you stand, who's getting recommended instead, and what it takes to change it.
- How your product appears today when a firm asks AI which legal-tech tool to trust, across seven engines.
- Which tools get recommended instead, and why those names.
- Whether the engines understand your product, confuse it, or know nothing about it.
- The high-intent questions no vendor yet owns in your category.
Then a plan, sequenced over four quarters.
- The content that's already earning you citations.
- The pages and proof the engines need before they'll quote you.
- The effort going nowhere AI can read.
By firm type
Practice & case management
The system a firm runs its day on — often known to buyers but thin in the sources an engine reads when someone asks which platform to trust.
Contract & AI legal automation
The fastest-moving, most crowded category: the engines must name you accurately for what your automation actually does, or not at all.
e-Discovery & compliance
Where accuracy is everything — buyers answer to the SRA for the tool they pick, so the engine has to cite your compliance claims exactly right.
Legaltech questions
- Will AI really recommend a specific legal-tech tool?
- Yes. Ask an AI "which contract-management tool should a UK law firm use?" and it increasingly answers with named products and a source, not generic advice. The only question is whether yours is one of those names. The Recommendation Index measures it across seven engines.
- Our customers are SRA-regulated — will claims about compliance and regulated use be accurate?
- Yes, and this is where we're strictest. Your buyers answer to the SRA for the tools they choose, so nothing about compliance, security or regulated use gets overstated. Every claim is checked against what your product actually does, checked by a person and signed off by you before it ships.
- We're a product company, not a firm — does GEO work the same way?
- Yes. The engines shortlist software the same way they shortlist firms — by entity clarity, retrievable proof and third-party citations. We work those signals for your product and its category, so the engine names you when a firm asks which tool to trust.
- Isn't this just SEO?
- No, though good SEO helps. Search ranks pages; AI names products and cites sources. We work the signals an engine uses to decide who to recommend — entity clarity, retrievable content, third-party citations — most of which a normal SEO programme never touches.
AI can't recommend what it doesn't know.
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