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Anthropic AI tool sparks selloff from software to broader market

https://www.bloomberg.com/news/articles/2026-02-03/legal-software-stocks-plunge-as-anthropic-releases-new-ai-tool
53•garbawarb•2h ago

Comments

XiS•1h ago
https://archive.li/VyN2H
epicureanideal•1h ago
Could this lead to more software products, more competition, and more software engineers employed at more companies?
rishabhaiover•1h ago
maybe eventually, not in the near-term future.
unyttigfjelltol•1h ago
It’s demonetizing process rent-seeking. AI can build whatever process you want, or some approximation of it.
garbawarb•37m ago
I kind of imagine more people going off and building their own companies.
DougN7•14m ago
I think so too. But because of code quality issues and LLMs not handling the hard edge cases my guess is most of those startups will be unable to scale in any way. Will be interesting to watch.
fishpham•33m ago
I think the argument is that tools like Claude Code will cause more companies to just build solutions in-house rather than purchase from a vendor.
groceryheist•26m ago
This is correct. AI is a huge boon for open source, bespoke code, and end-user programming. It's death for business models that depend on proprietary code and products bloated with features only 5% of users use.
hugs•17m ago
possibly also a boon for automated testing tools and infra designed for ai-driven coding.
gip•1h ago
I'm not really understanding why Thomson Reuters is at direct risk from AI. Providing good data streams will still be very valuable?
robotswantdata•1h ago
Huge legal tech business units
yodon•1h ago
If customers start asking Claude first, before they ask Thomson Reuters, that's a big risk for the later company.
gip•49m ago
Got it, thank you for the insight.

The assumption is that Claude has access to a stream of fresh, currated data. Building that would be a different focus for Anthropic. Plus Thomson Reuters could build an integration. Not totally convinced that is a major threat yet.

whitej125•24m ago
TR will not disappear. But their value to the market was "data + interface to said data" and that value prop is quickly eroding to "just the data".

You can be a huge, profitable data-only company... but it's likely going to be smaller than a data+interface company. And so, shareholder value will follow accordingly.

palmotea•3m ago
Seems like they should hold tight to that data (and not license it for short-term profit), so customers have to use their interface to get at it.
elemeno•22m ago
They’re one of the two big names in legal data - Thomson Reuters Westlaw and RELX LexisNexis. They’re not just search engines for law, but also hubs for information about how laws are being applied with articles from their in house lawyers (PSLs, professional support lawyers - most big law firms have them as well to perform much the same function) that summarise current case law so that lawyers don’t have to read through all the judgements themselves.

If AI tooling starts to seriously chip away at those foundations then it puts a large chunk of their business at risk.

themgt•1m ago
The commodification of expertise writ large is a bit mind boggling to contemplate.
simianwords•30m ago
I came across this company called OpenEvidence. They seem to be offering semantic search on medical research. Founded in 2021.

How could it possibly keep up with LLM based search?

dnw•23m ago
It is a little more than semantic search. Their value prop is curation of trusted medical sources and network effects--selling directly to doctors.

I believe frontier labs have no option but to go into verticals (because models are getting commoditized and capability overhang is real and hard to overcome at scale), however, they can only go into so many verticals.

simianwords•10m ago
> Their value prop is curation of trusted medical sources

Interesting. Why wouldn't an LLM based search provide the same thing? Just ask it to "use only trusted sources".

tacoooooooo•3m ago
They're building a moat with data. They're building their own datasets of trusted sources, using their own teams of physicians and researchers. They've got hundreds of thousands of physicians asking millions of questions everyday. None of the labs have this sort of data coming in or this sort of focus on such a valuable niche

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Anthropic AI tool sparks selloff from software to broader market

https://www.bloomberg.com/news/articles/2026-02-03/legal-software-stocks-plunge-as-anthropic-rele...
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