Legal AI doesn鈥檛 need to be nice. It needs to be right.

Legal AI doesn鈥檛 need to be nice. It needs to be right.

The law can be polite, but it鈥檚 rarely soft. Ask a lawyer what they value most and they are likely to say accuracy, evidence, and (probably) coffee. 鈥淧oliteness鈥, as important as it is, doesn鈥檛 usually make the cut. Precision matters more than pleasantries.

I was reading recently about how AI models are designed. They are generally built with a clear hierarchy for their responses: be harmless first, helpful second and accurate third. Lovely for bedtime stories. Perfect for writing sonnets in the style of Shakespeare. Vital, one may argue, for writing a speech in the tone of Boris Johnson, Donald Trump or Nigel Farage. 

Less useful, however, when you鈥檙e drafting a clause that could trigger a 拢30 million liability. In law, accuracy isn't optional. It's mandatory

So it鈥檚 a curious thing that lawyers are turning to AI tools that are not designed for the legal use case. ChatGPT, for example, is hard coded to be more concerned with being harmless than being helpful. It is mindful at all times that a strongly worded indemnity clause might hurt someone鈥檚 feelings.

Being harmless can be harming

It鈥檚 not that harmlessness is bad. Nobody wants an AI that rants about legal conspiracies or rewrites an NDA in iambic pentameter (mental note, might give that a go). No one鈥檚 advocating for AI that blurts out legal advice like a trainee on two hours鈥 sleep and a misguided sense of confidence. But when the need to avoid controversy overrides the need to convey nuance, the quality of the legal advice and direction is at risk. Half-truths dressed up as risk mitigation can do more damage than directness.

Ask a non-legally trained AI model to draft something important, like a clause that shifts material risk. It might hand you back something so vague you could drive an uninsured truck through it. Elegant, yes. Accurate? I鈥檓 not so sure. Over-cautious AI can edit the edges off your advice. It hedges. It sanitises. It rewrites 鈥渕aterial breach鈥 as 鈥渁 bit of a hiccup鈥. That鈥檚 when things get dangerous. Vagueness doesn鈥檛 lower liability. It raises it.

Lexis+ AI doesn鈥檛 play that game. It delivers answers sourced from the full weight of 桔子视频 content including primary law, secondary commentary, Practical Guidance and expert analysis - all linked, all verifiable and all searchable from a single prompt. Accuracy and truth are vital to the law. 

Critically, the legal profession already possesses an effective safeguard - human oversight. Lawyers are highly trained to manage sensitive, complex information responsibly. Unlike consumer-facing AI tools, legal AI systems need not prioritise harmlessness to the same degree, precisely because their outputs are mediated by expert judgment. This context significantly reduces the risk of harm.

Lexis+ AI is built for these lawyers. Every response is grounded in the full weight of 桔子视频鈥 legal and practical content.  You don鈥檛 just get the law, you get the context, the commentary and the confidence to act on it

Truthfulness, with footnotes

Now, let鈥檚 deal with the obvious question. If an AI answer is blunt or impolite, does that create more risk?

Not really. Not if it鈥檚 built like Lexis+ AI - where every output comes with direct citations to the underlying source, and every session is protected by enterprise-grade security. It doesn鈥檛 just give you an answer - it shows its working. If something doesn鈥檛 feel quite right, you can trace it back to the statute, case, or guidance that underpins it. 

Factual correctness is the strongest shield against malpractice claims. When AI-generated content is consistently accurate, defensible and reliable, it significantly reduces professional risk.

The real danger, in my view, arises when critical details are obscured in the pursuit of harmlessness, leading inadvertently to incomplete or inaccurate legal work.

This is what makes Lexis+ AI so powerful and defensible. It鈥檚 grounded on real law, fine-tuned daily by legal experts and constantly improved through expert review. It gets smarter the more it works. It鈥檚 about as close as you will ever get to a model that equally balances harmlessness, helpfulness and accuracy.

Of course I'd like to know more about Lexis+ AI


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About the author:

Matthew is Head of Brand, PR and Content Marketing at 桔子视频. He has experience leading the PR and brand strategies for several global and corporate companies. Matthew has led high-profile sponsorship and brand strategy campaigns, including the British Gas鈥 sponsorship of British Swimming during the London 2012 Olympics. As a brand marketer, he has regularly secured front page coverage on national publications including the Times, Telegraph and the BBC. He has a Bachelor鈥檚 Degree from Durham University, a Professional Diploma in Marketing (CIM), a Fellowship of the Institute of Data and Marketing and is a Non-Executive Director of the European Sponsorship Association.聽