The gap between practical use and policy and procedure is what many in-house legal teams are seeing on the ground. Teams are already using AI for drafting, summarising claims files, reviewing distribution agreements, comparing policies, and accelerating research. But in most organisations, AI use has grown faster than the guardrails around it.
And that is exactly why insurance GCs are now being asked to provide both:
- Enabled innovation
- Robust governance that stands up to regulatory scrutiny
Why this matters in the UK right now
Consumer Duty requires firms to evidence fair outcomes and document how key decisions are reached. If AI influences drafting, suitability, or customer‑touching processes, verification and oversight become essential.
Operational Resilience rules expect firms to maintain important business services meaning AI must be reliable, explainable, and have human fallback paths if something fails.
The UK’s broader AI regulatory approach being principles-based rather than prescriptive still emphasises:
- Safety
- Accountability
- Transparency
- Explainability
- Governance across the AI lifecycle
So, while the UK is not adopting a single AI Act, boards are increasingly asking for one coherent approach to AI across Legal, Risk, Compliance, Data, Claims, and Underwriting.
What we tell UK insurance GCs today
1. Keep AI governance simple, practical, and usable
Start with clear rules your teams can actually follow:
- When AI can be used
- What needs verification
- What data is off-limits
- When to escalate
- What stays within secure enterprise environments
2. Tie AI directly to Legal Ops and measurable value
Before introducing AI, fix process gaps. Then focus on use cases where value is clear:
- Intake triage
- Redlining and playbook-powered contracting
- Clause extraction for large portfolios
- Repapering regulatory or product changes
- Delegated authority oversight
- Claims litigation summaries
Boards want numbers, whether that’s cycle times, accuracy levels, or reduction in manual effort, not theoretical benefits. So having the original benchmark data is also valuable when establishing the ROI.
3. Build capability across the legal team
Role‑specific guidance is essential:
- Lawyers → verification habits, confidentiality, escalation
- Legal Ops → process redesign, metrics
- Business teams → safe everyday use
- Everyone → documentation and audit readiness
Culture change is as important as technology adoption.
4. Integrate AI into the tools your teams already use
AI works best inside CLMs, matter management systems, claims platforms, and document repositories, not as standalone apps. This approach improves adoption and strengthens operational resilience with:
- Audit trails
- Version control
- Human fallback paths
- Consistent oversight
The bottom line
For GCs, this moment is about balancing ambition with accountability. AI can accelerate legal work dramatically but only when paired with governance that is transparent, lightweight, and aligned to the UK regulatory environment.
If you are shaping your AI governance or Legal Ops roadmap, the Legal Ops & Tech Consulting team can work with you to ensure you achieve your innovation and efficiency goals.
