Harvey Privacy team cuts vendor review time 4–6 hours weekly with Workflow Builder
Harvey deployed Large Language Models & Generative AI for Compliance Monitoring in Corporate Legal & In-House. As reported by www.harvey.ai: At least 4–6 hours/week privacy team time saved.
Source-reported figures — cited source: www.harvey.ai
What Harvey was trying to fix
Harvey’s Privacy team is brought into procurement projects that may involve personal information, which means frequent vendor onboarding reviews. Reviewing privacy and security documentation to spot alignment and gaps against internal requirements was repetitive and time-consuming.
What Harvey deployed
The team built a custom Harvey Workflow Builder process for vendor onboarding reviews. Users enter the vendor name, engagement purpose, and personal information types, then upload privacy and security documents; Harvey returns a summary of key terms and a side-by-side mapping of Harvey’s requirements to the vendor’s commitments (incident notification, international transfers, data use, retention, and related obligations), with findings validated against source documents and final decisions remaining human-led.
Results
Creating and fine-tuning the workflow took about an hour. The Privacy team reports the workflow saves at least 4–6 hours every week, and an estimated average of at least 2–3 hours of work per engagement involving personal information.
Key Takeaways
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- Custom agentic workflows can encode recurring privacy/security review checklists while keeping humans in the loop on final decisions.
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- Grounding every finding in source documents preserves existing security and privacy controls while speeding review.
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- Mandating and operationalizing specific use cases (not just providing tools) is needed for measurable returns.
Evidence for Harvey's Compliance Monitoring deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.harvey.ai
- Last updated
- Source published
- Source link checked
Explore Related
Details
- Industry
- Corporate Legal & In-House
- Use Case
- Compliance Monitoring
- AI Technology
- Large Language Models & Generative AI
- Company Size
- MidMarket
- Company
- Harvey
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