Insurance companies are racing to create AI-specific coverage products while simultaneously carving AI out of traditional policies. This matters intensely to mid-market law firms, insurers, financial services firms and accountancy practices because it signals something the regulator already knows: the insurance industry itself doesn't yet understand the real risks. You cannot insure what you cannot measure. And the FCA, SRA, PRA and ICO have made clear that regulatory breach caused by poor AI implementation is not something an insurer can erase — the firm remains liable under Consumer Duty PS22/9, the SRA Code, and UK GDPR. A new insurance product does not absolve you of responsibility to the regulator.

This is part of a broader pattern. The market is splitting into two groups: firms that treat AI as a bolt-on tool (and are now buying insurance against the mess it creates), and firms that treat AI as a material control requiring governance from day one. The first group is growing. They deploy Harvey, Copilot, Luminance or similar point solutions, see immediate productivity gains, and feel safe because someone sold them an insurance wrapper. They are wrong. The second group — and this includes our clients — understands that AI governance is not a cost centre, it is a control environment. The EU AI Act, the ICO's AI principles, and Lloyd's Blueprint Two all point in the same direction: firms must document their AI implementation, test for bias and drift, maintain audit trails, and prove they are compliant. Insurance does not do any of that.

Trovix's view is blunt: if you need insurance against your AI system, you have failed to implement it properly. The insurance industry is offering a painkiller when you need surgery. The real protection comes from building AI into your workflows with proper governance architecture from the start — not grafting it on and hoping. Trovix Sift and Trovix Aria exist because firms need AI that integrates with compliance, not against it. When you implement document intelligence or RAG-based knowledge assistance, those systems are designed to sit inside your control framework, not outside it. They generate audit trails. They don't hallucinate in ways that expose you to regulatory action. They are insurable because they are defensible. That is a different conversation than the one happening in the insurance market right now.

What you should do now: do not buy AI insurance as a substitute for implementation discipline. Audit how AI is actually being used in your firm today — by fee-earners, paralegals, case handlers, tax advisers, whoever. Ask yourself whether that use is documented, whether the outputs are checked, whether bias or drift is being monitored. If the answer is no, you have a governance gap. Close it before you worry about insurance. If you are considering an AI system, build your business case around regulatory defensibility, not just speed. That is harder work and it takes longer. It also means you will not be in the insurance queue.

Source: Marketplace