# Harvey — Scaling AI Evaluation Through Expertise

- Company: Harvey (harvey.ai)
- Announced: 2025-05-22T16:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.harvey.ai/blog/scaling-ai-evaluation-through-expertise
- Record: https://forck.live/items/17709-scaling-ai-evaluation-through-expertise
- Subject: Harvey

Harvey's post explains its three-pillar evaluation strategy for its AI systems: expert-led reviews, automated evaluation pipelines, and dedicated data services. It describes how these pillars help the company assess whether its AI is meeting user needs, using the example of a tax attorney querying cross-border tax implications.

## Evidence

Verbatim from https://www.harvey.ai/blog/scaling-ai-evaluation-through-expertise:

> We’ve developed a structured evaluation strategy grounded in three core pillars: Expert-led reviews that offer deep domain insights and uphold the highest professional standards; Automated evaluation pipelines for rapid iteration and continuous monitoring; Dedicated data services to ensure evaluations are organized, secure, and repeatable.

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Record: https://forck.live/items/17709-scaling-ai-evaluation-through-expertise
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md
