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How WhyHow.AI uses Exa

ConfirmedVendor case study · Checked Nov 12, 2026
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The use case: how WhyHow.AI deploys Exa

WhyHow uses Exa's search API to find web pages that contain early signals of potential class action and mass-tort cases, such as niche articles, forum posts and regulatory filings. It combines the results with LLM reasoning agents to surface litigation opportunities for plaintiff firms.

In the customer’s words

In our internal benchmarks, Exa delivered accurate source data roughly 30% more often than any other tool we tried, especially on fresh articles. Its deep sub-page crawl also keeps our production agents from hallucinating.
Chia Jeng Yang, Co-founder, WhyHow.AI — Source, captured Nov 12, 2026

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Go straight to the source

Based on Exa’s published case study. We check the public evidence; the results are reported by the vendor.

exa.ai
Last checked
Nov 12, 2026
exa.aiCaptured Exa case study about WhyHow.AIOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 30%Checked

    The figure is on the page; its label is our wording.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of WhyHow.AI.

  • WhyHow.AI uses ExaChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

Exa returned correct source data 30% more often than other tools, especially on fresh articles critical for early detection.
From the page. exa.ai