AI Clears the Search - But Can't Clear the Bar: Class 25 Brands Face a False-Safety Trap

Class 25 - the Nice class covering clothing, footwear and headwear - has always been where brand equity lives closest to the skin. Right now, the brands that call it home face two simultaneous shocks: a dramatic pullback in UK filing activity and a growing over-reliance on AI tools that cannot actually do what their dashboards imply.

A study flagged this week by World Trademark Review delivers a verdict worth pinning above every brand manager's desk. AI is genuinely effective at the mechanical work of trademark searching: scanning databases, flagging phonetic and visual similarities, cutting what once took weeks into something closer to minutes. The study warns, however, that this efficiency should not be mistaken for legal reasoning, and that practitioners must know precisely where automation ends and human judgement begins.

The Class 25 Filing Collapse

The timing of this warning matters. According to AI Business Dispatch analysis of IPO (TrademarkDashboard) data, UK Class 25 trademark filings stand at 2,333 in Q4 2026, a fall of 59.7% against the prior period. That is a sharper contraction than almost any comparable class has seen this year. Whether the cause is economic caution, post-Brexit realignment, or brands deferring to AI-generated names they haven't yet properly cleared, the effect is the same: fewer registered marks, more unprotected brand equity, and a larger opportunity for competitors and counterfeiters to occupy the space left behind.

What AI Genuinely Does Well

The case for AI in trademark searching is real. Studies published this year by INTA found that AI search tools, used alongside experienced trademark attorneys, reduced clearance time by 40 to 50% while maintaining equivalent levels of legal risk. Crucially, that held only when the attorney reviewed the AI-generated results. AI trademark search systems now process active global records in seconds, evaluating phonetic, conceptual and visual similarities across multi-jurisdictional databases in a way no paralegal team could replicate at speed or at scale.

The EUIPO has itself leaned into this, launching its 'Early TM Screening' tool: an AI-powered pre-assessment check that flags potential conflicts with earlier marks, tests for non-distinctiveness, and signals absolute grounds for refusal before an application is even submitted. The office is explicit that the tool is built on AI, providing enhanced accuracy and speed in the pre-assessment process. For Class 25 applicants running a quick check before launch, it is a genuinely useful first filter.

The EUIPO's own 2026 Guidelines confirm that AI can be a valuable assistive tool, but should never replace proper legal analysis or human oversight. The fact that an AI system generates or clears a brand name does not mean that name is capable of registration.

Where the Technology Breaks Down

The failure modes are specific and consequential. AI trademark search stumbles on ambiguous visual logos, culturally nuanced slang, and, most damagingly for Class 25, unregistered common-law marks that require human legal interpretation. A 2026 study cited by WIPO found AI systems had a 20% error rate in predicting examiner decisions on likelihood of confusion, compared to a 10% error rate for experienced attorneys. That gap doubles the chance of an expensive surprise post-filing.

A separate 2026 USPTO analysis found that 30% of trademark oppositions were based on common-law marks that a database search alone would never have surfaced. For a fashion label launching a new line, an AI clearance tool that misses an unregistered regional brand worn by a decade of loyal customers is not a clearance tool at all; it is a liability with a good user interface.

Several major trademark insurers have drawn the same conclusion. Most now require human attorney sign-off on clearance for policies above $250,000, regardless of which AI tools were used. The market has already priced in AI's limits, even if some brand teams haven't.

The Nice 13th Edition Wrinkle

Class 25 has been further complicated by the 13th edition of the Nice Classification, which entered into force on 1 January 2026. The reclassification moved electrically heated clothing (heated jackets, heated socks, heated footmuffs) from Class 11 (heating apparatus) directly into Class 25, reflecting their primary character as wearable garments. Any brand producing heated apparel now faces a dual-class clearance obligation: searches must bridge both Class 11, for legacy filings predating the change, and Class 25, for everything filed on or after 1 January 2026. An AI tool calibrated on pre-2026 data may not catch legacy Class 11 conflicts that now sit directly in a brand's new territory.

AI tools that automatically detect cross-class risks can help here, but only if they have been updated to reflect the 13th edition. Brands that skipped that check are filing into blind spots.

What To Do This Week

If your brand holds Class 25 registrations, or is planning to file in this class, do not let a clean AI clearance report substitute for a qualified opinion. Commission a full dual-class search spanning Class 11 and Class 25 for any heated apparel, review your watch service configuration to confirm it reflects the Nice 13th edition, and ensure any clearance output you rely on has been reviewed and signed off by a qualified trademark attorney. The AI found the candidates; the lawyer evaluates the risk. That division of labour is not a bureaucratic formality. With UK filing volumes down nearly 60%, brands still active in Class 25 face a less crowded register but a more complicated clearance landscape. Automated confidence in that environment is a luxury Class 25 brand owners cannot afford.