The Law Society of England & Wales recently warned that unsafe AI adoption could expose firms to real risk - noting that most solicitors are now using AI for everyday tasks like drafting documents and analysing case material. That's a fast shift for a profession that has traditionally been cautious about new technology, and it puts the emphasis exactly where it should be: not just on whether firms are adopting AI, but on how carefully they're choosing what to adopt.
Ask a lawyer why they haven't switched their dictation workflow to a general-purpose AI assistant, and you'll usually get a version of the same answer: it's fast, but it doesn't understand the work.
That gap -between AI that sounds fluent and AI that's actually reliable for legal documentation -is becoming a bigger conversation across the profession. As adoption accelerates, firms are having to work out which tools are fit for purpose and which just happen to be convenient.
The appeal -and the limits -of general-purpose AI
Consumer AI tools are everywhere, and lawyers are using them. That's understandable: they're accessible, familiar, and fast to pick up.
But general-purpose speech and language tools are trained on broad, everyday language -not on the specific vocabulary, structure, and conventions of legal documentation. That distinction matters more than it might first appear:
None of this means general-purpose AI is bad technology. It means it wasn't built for this job.
Why purpose-built matters more than it used to
This isn't a new argument - accuracy in specialised domains has always mattered. What's changed is the stakes.
As AI tools move from novelty to everyday infrastructure inside firms, the tools being used for actual client-facing documentation are getting more scrutiny - from partners, from clients, and increasingly from regulators and bar associations thinking about AI governance in legal practice. A dictation tool that's fast but unreliable doesn't just create rework; it creates risk in exactly the kind of document where risk is least acceptable.
Purpose-built legal speech recognition is trained specifically for this environment -recognising legal terminology, formatting conventions, and the structure of legal documentation, rather than trying to generalise from everyday speech.
What "purpose-built" looks like in practice
For software providers building or embedding dictation into legal workflow, case management, or document assembly products, purpose-built speech recognition typically means:
The takeaway
General-purpose AI is genuinely useful for a lot of things. Legal documentation, where precision, terminology, and confidentiality all carry real weight, isn't one of them - at least not on its own. As adoption of AI across the legal profession continues to grow, the tools doing the actual documentation work are the ones worth being deliberate about.
If you are ready to explore what that looks like for your product, the Recognosco team is available to walk through the detail.
Source: Photo by Tingey Injury Law Firm on Unsplash
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