Will AI play a role in conveyancing?

Yes, and the timeline just accelerated.  The MHCLG home buying and selling reform roadmap published on 19 June 2026 names AI-assisted conveyancing as a specific workstream.  Government will work with the Digital Property Market Steering Group to develop technology standards for AI use in conveyancing, covering how AI tools should handle property data, flag risks and support professional decision-making.

The AI Growth Lab, launched on 8 June 2026, is specifically open to law tech, legal services and conveyancing firms.  It is designed to accelerate the development and adoption of AI tools across the legal services sector, with property transactions as one of the named application areas.

The opportunity for conveyancers is substantial.  AI tools can interpret title documents, identify risks in lease terms, cross-reference planning history, and draft preliminary reports in a fraction of the time a manual process requires.  For routine residential transactions, AI-assisted workflows could compress the conveyancing timeline from months to weeks.

But the quality of AI output depends entirely on the quality of the data it receives.  An AI tool trained on incomplete, unverified or inconsistently structured property data will produce unreliable results.  Conveyancing-grade data, drawn from regulated sources such as HM Land Registry and structured to Law Society standards, is the input layer that makes AI conveyancing trustworthy.

This is where hop sits in the AI conveyancing landscape.  hop is not an AI conveyancing tool; it is the data infrastructure that AI tools depend on.  hop’s output is conveyancing-grade, Law Society licensed, drawn directly from HMLR and structured for machine readability.  As AI adoption accelerates, the value of that data layer increases, because every AI tool in the chain needs a reliable, verified, structured source of truth for the property it is processing.