When traders arrived in London on the morning of February 3, 2026, they saw a similar skyline but a different atmosphere. Across the city, screens glowed red. RELX dropped precipitously. Kluwer Wolters slipping. It would be the steepest one-day decline in Thomson Reuters’ history. Earnings were not the driving force. There was no rate increase. It was a plug-in.
The American artificial intelligence startup Anthropic has introduced a legal extension for its Claude chatbot, a so-called “agentic” tool that can automate contract inspections, compliance checks, and NDA processing with little assistance from humans. Data and legal software equities across Europe fell within hours. Investors seemed to have been anticipating this opportunity.
| Category | Details |
|---|---|
| Event | European market selloff following Anthropic AI launch |
| Date | February 3, 2026 |
| Trigger | Legal-focused AI plugin for Claude |
| Key Declines | RELX (~14%), Wolters Kluwer (10%+), Thomson Reuters (~18%), LSEG (8.5%) |
| Sector Impact | Legal tech, analytics, publishing, SaaS, advertising |
| Broader Fear | AI replacing professional workflows |
| Regulatory Context | Rising AI disruption concerns in UK & EU |
| Reference |
Artificial intelligence in professional services was portrayed for years as helpful, recommending changes, summarizing documents, and writing emails. beneficial yet not dangerous. It felt strange. Lawyers and analysts were not being helped by Claude’s new plugin. It was carrying out end-to-end workflows.
RELX shares dropped about 14%. Wolters Kluwer saw a decline of almost 10%. Thomson Reuters fell by over 18 percent. The London Stock Exchange Group experienced an 8.5% decline. Even businesses like Pearson, Sage, Publicis, and WPP that were farther away from legal data saw the tremor. A UBS basket that tracks European stocks that are thought to be at risk from AI disruption dropped by about 5%.
There was a certain sharpness to the selloff. It appeared like investors were adjusting the timeline. There was a noticeable but subdued tension as we passed a trading floor at Canary Wharf that afternoon. Don’t yell. Only serious discussions regarding revenue models. cost for subscriptions. recurring agreements. The kind of corporate presumptions that feel brittle all of a sudden.
Analysts at Morgan Stanley observed mounting concerns that AI-native businesses would enter the legal and analytics sectors more quickly than established firms could adjust. That is not an abstract possibility. Proprietary databases, regulatory insights, and workflow connections developed over decades are of great importance to legal data firms. However, the pricing rationale changes if an AI agent can synthesize, evaluate, and draft in a matter of minutes—at minimal cost.
The market’s response may have exceeded reality. Enterprise adoption does take time, after all. In Europe, regulations are closely monitored. Trusted platforms are not abandoned suddenly by professional clientele. However, the path of travel appears to be obvious.
There is more exposure, especially in the UK. According to a recent study, AI has the potential to significantly disrupt white-collar professional services. Data providers, law companies, and consultancies all work in organized, document-heavy settings that are perfect for automation.
According to one analyst, investors are increasingly in “seek and destroy mode,” looking through portfolios for businesses that AI-native alternatives might be able to outperform.
It has an almost ironic quality to it. Europe has always taken pride in its strict regulations, data privacy protections, and institutional stability. However, innovation frequently outpaces frameworks intended to limit it, especially when it comes from American tech companies.
It’s difficult to ignore the psychological change as you see this play out. There was more to the February selloff than just earnings concern. Identity was at issue. Many of these companies view themselves as knowledge stewards—gatekeepers of financial and legal intelligence—rather than merely software suppliers. That role is now under scrutiny.
The unpredictability continued after that. Additional drops in cybersecurity stocks were caused by Anthropic’s introduction of a new AI security technology later in February. The pattern implied that there was more than one plugin. Whole categories were being reevaluated by investors. However, there is a more nuanced reality underneath the fear.
It is difficult to replace professional services. Context is important. Making the right decision is important. The subtleties of regulations are important. Though they are unable to sit across negotiation tables or personally assess political risk, AI agents are capable of contract analysis. Not yet, anyhow.
Whether these tools will slightly reduce margins or completely alter industry dynamics is still up in the air. Investors no longer view AI as a gradual improvement, that much is clear. It is a force of structure.
In the end, the European Data Squeeze might be remembered more for the message it conveyed—that automation has infiltrated previously isolated fields—than for the one-day losses. agreements. adherence. knowledge in general. And that change is being priced in real time by investors.
