Duracell cuts contracting costs 50% with AI Contracting MIND

Contract data lived siloed in PDFs, emails, and SharePoint, so Duracell’s institutional knowledge was trapped by format. Finding the company’s precedent position on indemnity could take 40 billable hours to re-review documents already paid for multiple times. Prior positions and pricing terms were hard to locate, while the legacy hourly outside-counsel model kept rising (~10% more expensive each year) with little change in delivery. Legal was forced to choose between speed and comprehensiveness while the business waited.

Duracell embedded Eudia’s Contracting MIND to run day-to-day contracting redlines, negotiation support, progression to signature, and escalation paths on a predictable fixed-fee basis. They also converted static contracting history into a custom contract insights solution that extracts pricing, rebate, and margin-relevant clauses from legacy documents and links them to Sales/Finance data. The program was funded by re-allocating outside-counsel dollars rather than a new tech budget line.

Duracell reports 50% savings on contracting costs. Legal can retrieve its own contract data in minutes rather than weeks, answer margin and posture questions before negotiations, and reduce default reliance on outside counsel. The team operates with more consistent redlines, clause benchmarks, and decision-ready insights for Sales and Finance, while scaling the model across business units without adding headcount.

• Re-allocate outside-counsel spend to fund AI contracting so adoption isn’t blocked by a new tech budget line.
• Pair day-to-day contracting automation with searchable historical insights so Legal can set commercial posture before negotiations—not after.
• Keep human judgment on high-stakes decisions while automating repetitive redlines and feeding every matter into playbooks and institutional memory.