Duracell cuts contracting time and cost 50% with governed Enterprise Brain
Duracell deployed Large Language Models & Generative AI for Contract Lifecycle Management in Corporate Legal & In-House. As reported by www.eudia.com: 50% reduction contracting time & cost.
Source-reported figures — cited source: www.eudia.com
What Duracell was trying to fix
Expert legal judgment at Duracell was concentrated among top lawyers and not systematically available to the broader team. That left the legal function doing repetitive contracting work and dependent on a small set of subject-matter experts.
What Duracell deployed
Eudia built a custom ontology—the “Duracell Brain”—that encodes how Duracell’s best lawyers operate into a governed Expert Digital Twin. The Enterprise Brain makes that expert judgment available as self-service across the contracting workflow.
Results
Per Chief Legal & AI Officer Gary Hood, the team no longer spends time on repetitive contracting work. Duracell eliminated 50% of the time and cost associated with contracting.
Key Takeaways
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- Encoding how top in-house lawyers actually decide—not generic AI—drives contracting efficiency
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- A customer-specific ontology can turn scarce expert judgment into a shared enterprise asset
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- Reducing repetitive contracting work can cut both cycle time and cost in parallel
Evidence for Duracell's Contract Lifecycle Management deployment
- Reported outcome metrics
- 1 cited below
- Cited source
- www.eudia.com
- Last updated
- Source published
- Source link checked
Explore Related
Details
- Industry
- Corporate Legal & In-House
- Use Case
- Contract Lifecycle Management
- AI Technology
- Large Language Models & Generative AI
- Company Size
- Enterprise
- Company
- Duracell
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