# How Legora uses Clay

**70%**: “allowing them to ship pipeline-generating campaigns 70% faster”

As published on [clay.com](https://www.clay.com/customers/legora). Captured by usedby on 2026-10-10.

- Company: [Legora](https://www.usedby.ai/companies/legora.md)
- Tool: [Clay](https://www.usedby.ai/tools/clay.md)
- Industry: [Legal & Compliance](https://www.usedby.ai/companies/industry/legal-compliance-legaltech.md)
- Teams: Marketing, Sales, Growth, RevOps

## What the story says

Legora's growth team uses Clay to map law firms and in-house legal teams worldwide, enrich Salesforce records with industry, attorney count and location data, and run AI research workflows to find non-standard prospect signals, such as golf affinity, for targeted campaigns.

Summary written by usedby from the source page, in English. The figures are those of Clay and Legora, not ours.

> Legora now achieves a 80-90% match rate for contact-based audiences, allowing them to ship pipeline-generating campaigns 70% faster.

- **80-90%**: “Legora now achieves a 80-90% match rate for contact-based audiences”
- **50–60%**: “qualified leads from Clay-sourced campaigns have increased by 50–60%”
- **6,000**: “The result was 6,000 records of ICP-aligned prospects with confirmed golf affinity.”
- **30–70%**: “Since adopting Clay, Legora's growth team launches campaigns 30–70% faster than before”

> Our most successful campaigns are built on data that doesn’t exist in off-the-shelf tools. Clay helps us find those signals — and transform ambitious ideas into executable, high-performing campaigns.
>
> Francesca Pavan, Director of Demand Generation

Source: [clay.com](https://www.clay.com/customers/legora), captured 2026-10-10.

## What usedby checked

We compared the story with its live page on 2026-10-10.

- Checked: the figure 70% is printed word for word on the page, near the name of Legora.
- Checked: the passage quoted above is copied word for word from the page, near the name of Legora.
- Checked: Legora uses Clay. Confirmed line. Latest check across sources: 2026-10-10.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/legora-clay · How we check: https://www.usedby.ai/methodology