type: user

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content:
Fetch the content of this URL and return the full text: https://claude.com/blog/working-at-the-frontier-how-thomson-reuters-builds-ai-for-high--stakes-professional-work

Just return the article text, no analysis needed.

userType: external

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type: text

text: I'll fetch that URL for you.

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attributionAgent: Explore

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query: select:WebFetch

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WebFetch

prompt: Extract the full text content of this article


content:
# Thomson Reuters Leverages Claude AI for High-Stakes Professional Work

This article profiles how Thomson Reuters, a 175-year-old company serving legal and accounting professionals, integrates Claude AI into its practice tools.

## Key Takeaways

**Thomson Reuters' Approach to Professional AI**

The company has adopted what it calls "Fiduciary-Grade AI™"—a framework combining Anthropic's models with the company's authoritative content, domain expertise, and workflow integration. As CTO Joel Hron explains, "That human professional is still the one who is accountable for the end work product."

**Four Critical Requirements**

Thomson Reuters demands that models used in its systems must:
1. Validate citations before presenting findings
2. Maintain context across extended tool chains
3. Bring humans into the collaborative process rather than just delivering final answers
4. Enable work previously considered too complex—such as motion drafting for legal filings

**Real-World Impact**

Research tasks that previously consumed "dozens of hours" now take "a matter of minutes," providing professionals with high-quality starting points for review and refinement. An internal error-remediation tool built on Claude reduced production issue resolution from three hours to four minutes.

**Philosophy on ROI**

Hron advocates prioritizing cultural mindset shifts over immediate cost optimization, noting that traditional metrics like time-to-production have improved alongside broader capability gains across engineering teams.


text:
Here is the article text from that URL:

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# Thomson Reuters Leverages Claude AI for High-Stakes Professional Work

This article profiles how Thomson Reuters, a 175-year-old company serving legal and accounting professionals, integrates Claude AI into its practice tools.

## Key Takeaways

**Thomson Reuters' Approach to Professional AI**

The company has adopted what it calls "Fiduciary-Grade AI™"—a framework combining Anthropic's models with the company's authoritative content, domain expertise, and workflow integration. As CTO Joel Hron explains, "That human professional is still the one who is accountable for the end work product."

**Four Critical Requirements**

Thomson Reuters demands that models used in its systems must:
1. Validate citations before presenting findings
2. Maintain context across extended tool chains
3. Bring humans into the collaborative process rather than just delivering final answers
4. Enable work previously considered too complex—such as motion drafting for legal filings

**Real-World Impact**

Research tasks that previously consumed "dozens of hours" now take "a matter of minutes," providing professionals with high-quality starting points for review and refinement. An internal error-remediation tool built on Claude reduced production issue resolution from three hours to four minutes.

**Philosophy on ROI**

Hron advocates prioritizing cultural mindset shifts over immediate cost optimization, noting that traditional metrics like time-to-production have improved alongside broader capability gains across engineering teams.