The Failure Mode: Nominal Review vs Evidenced Scrutiny
In residential conveyancing, volume creates friction. When a junior fee earner or paralegal generates an automated draft—whether a Leasehold Property Enquiry (LPE1) summary, a draft Report on Title, or a response to complex requisitions—the operational risk is rarely the software itself. The risk is nominal review.
A fee earner with forty files on their desk opens an AI-generated draft, scans it for three seconds, and clicks "Send to Client". On the surface, a signature exists. In reality, no intellectual scrutiny occurred. If that draft hallucinated a restrictive covenant or failed to flag an onerous ground rent escalation clause, the practice cannot prove that any human exercised informed professional judgement.
In the landmark Upper Tribunal ruling Munir [2026] UKUT 81, the court made it clear that rubber-stamping AI output attracts severe supervisory culpability. At paragraph [38], the Tribunal warned that a supervisor who fails to verify work is likely to be viewed as more culpable than the drafting fee earner.
The Market Benchmark: Clifford Chance AI Principles
Large enterprise law firms have invested significant capital into establishing strict verification standards. Clifford Chance's published AI Principles state the industry benchmark clearly:
"Any legal output generated at Clifford Chance by an AI system is identified as such and validated by a qualified lawyer in that jurisdiction."
While top-tier firms build this with dedicated innovation teams and thousands of test users, small and mid-sized conveyancing practices carry the exact same regulatory obligation under SRA Code of Conduct Paragraph 3.5 and the SRA Warning Notice of 17 August 2026. The Marked Draft Standard provides independent conveyancing firms with an equivalent, scalable mechanism.
How the Marked Draft Standard Operates in Practice
The standard embeds three mandatory friction points into the internal drafting pipeline before any document reaches external parties:
1. Machine Identification (Explicit Watermark / Tag)
The draft is tagged internally as AI-assisted. The reviewer immediately knows they are examining an algorithmic synthesis rather than human work product.
2. The Stated Objective
The drafter records what the AI tool was asked to do (e.g. "Extract ground rent review mechanisms from lease dated 14/06/1998 and test against RPI caps"). This allows the supervisor to evaluate whether the prompt scope was sufficient.
3. The Named Open Question
Every draft must state at least one issue that requires human legal judgement (e.g. "Clause 4.2 references an unindexed service charge reserve fund; confirm whether seller holds receipts"). A supervisor cannot approve the draft without actively addressing the open query.
The Commercial Argument: Speed Through Trust
Practice managers often ask whether introducing supervisory checks slows fee earners down. The operational reality is the exact opposite.
When conveyancers do not trust automated outputs, they double-check every line manually, eroding any time savings. Conversely, when conveyancers blindly trust unmanaged tools, catastrophic claims occur. The Marked Draft Standard creates bounded speed: fee earners move at AI pace because the review gate is structured, fast, and forensically defensible.
Evidencing the SRA Effective Supervision Duty
On 12 June 2026, the SRA updated its Effective Supervision Guidance, mandating that outputs produced with AI assistance must be subject to "appropriate human review, scrutiny and professional judgement" and that an authorised individual "must retain ultimate responsibility."
By implementing the Marked Draft Standard, every case file retains an audit trail showing who verified the work, what questions were resolved, and when approval was given. That is the difference between a theoretical compliance policy and operational regulatory defence.
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