InfoTrack UK [1] has today launched the 2026 Digital Conveyancing Maturity Index (DCMI), the conveyancing profession’s largest free benchmarking tool used more than 2000 times, that allows conveyancing firms across England and Wales to measure and compare their digital capabilities against the wider industry. Now in its 2026 edition, the DCMI has been significantly updated to reflect how the sector has evolved, including, for the first time, a dedicated section on AI usage and governance.
The conveyancing sector is undergoing rapid change. From AI-assisted document reading and data interpretation to intelligent enquiries management and contract drafting tools that once required hours of manual effort, the pace of technology adoption continues to accelerate. Firms are increasingly finding AI embedded not just in standalone tools but across the entire transaction workflow.
Yet without a clear benchmark, firms have no consistent way to understand how their digital maturity compares to peers or where the greatest opportunities for improvement lie.
What the 2026 DCMI covers
The updated survey spans seven key dimensions of conveyancing operations, reflecting the full transaction lifecycle:
- AI Usage and Governance:what AI tools firms are using, where they are applying them in the conveyancing process, and how they are governing their use through policy and oversight
- Client Onboarding:how firms are verifying client identity, checking source of funds, managing AML obligations, and communicating with clients through the onboarding process
- Pre-completion:how firms are handling document review, raising and managing enquiries, preparing contract packs and reports on title, monitoring lender requirements, and managing transaction risk
- Post-completion:how firms are submitting SDLT and AP1 forms, ensuring accuracy, and managing requisitions from HMLR
- New Business:how firms are generating and managing leads, presenting pricing to prospective clients, and keeping clients updated on the progress of their matter
- Integrations and IT:how firms are using their case management system, applying e-signatures across the transaction, and storing and managing matter data
How it works
Firms complete the free online survey, which takes approximately 10 minutes. Responses are aggregated and anonymised to produce an industry-wide benchmark. On 1st October 2026, the full industry findings will be revealed live at the Digital Conveyancing Summit. From that date, every firm that has completed, or subsequently completes, the survey will receive a personalised report showing exactly where they stand against the industry benchmark, across every dimension measured.
Why AI is now part of the index
The inclusion of an AI section reflects a significant shift in how firms are approaching technology. The 2026 DCMI asks firms to identify which AI tools they use, from open and generic platforms such as ChatGPT to legal-specific solutions and AI embedded directly within their CMS, and where they are applying them, from contract analysis and enquiry management through to client communication and business performance analysis. It also captures whether firms have formal AI governance policies in place, and how consistently AI is adopted across teams. This data will, for the first time, give the industry a clear picture of AI maturity in conveyancing.
Sam Jordan, Chief Operating Officer at InfoTrack UK, said:
“Every two years, the DCMI gives Conveyancing firms the chance to pause and reflect on where they are, how far they’ve come, and even more importantly, how far everyone else has come. Since our last edition, AI has moved from an emerging curiosity to something firms are actively deploying or actively questioning. The 2026 index gives conveyancers the insights they need to make better decisions about where to focus, what good looks like, and how they compare to the rest of the industry. We look forward to helping every firm understand how they compare to their peers and competitors come October.”
Complete the survey at digitalconveyancingmaturityindex.co.uk [2]