AI is shifting from hype to deployment across construction, improving productivity, cost & safety.

• High‑impact use cases: For example, design optimisation, clash detection, schedule and cost forecasting, site monitoring/quality control, safety analytics.
• Data is decisive: Outputs mirror inputs. It is important to have strong data governance, interoperability and clear ownership to manage risk.
• Legal and contractual considerations: It is crucial to address IP in AI outputs, training data rights, confidentiality, liability for AI‑assisted decisions.
• Risk management: Bias and hallucinations can cause errors. It is important to retain human oversight and validation.
• Practical adoption tips: If you’re not using it yet, you should start targeted pilots now with clear use cases and measurable outcomes.

For a detailed analysis of these issues, read the full article on the HCR Law website.

If you need advice, contact me at +44 20 3824 9748 or fjennings@hcrlaw.com.