Cargill turns contract data into institutional intelligence with Eudia’s Contract Insights

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50%

reduction in research time — vs. manual PDF review

10+

strategic insights per week — topic-driven (tariffs, price escalation, etc.)

~5

ESG/deforestation clause request, end-to-end

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The Old Rule

“Modernizing legal” meant strapping on tools: implement a CLM, add point solutions, automate what you can, and wrap software around processes that aren’t working. In practice, that created a patchwork—static repositories, lost playbooks, and manual hunts for precedent. Adoption lagged, and the work rarely compounded; a typical contract still required someone to dig through folders and past deals for judgment. Legal stayed buried under requests and still looked slow, even after the “modernization.” The prevailing belief: more features equals more transformation. Cargill challenged that premise when it saw that most of its institutional knowledge wasn’t living in any single system—and therefore wasn’t working for the business.

The Ah-ha Moment

Cargill reframed the target from “manage contracts” to own institutional intelligence. Instead of another CLM push, the team stood up a company brain powered by Contract Insights—a search layer for judgment that structures contract history, clause language, decisions, and risk posture across repositories. Our team ingested and normalized historical contracts, benchmarked clauses, captured playbooks, and tagged issues so knowledge could be retrieved in natural language—with full clause and context in seconds, not days. The value snapped into focus during a real fire drill: an urgent ESG request (“Where do we have deforestation clauses across all of our contracts today?”) that would normally trigger a firm handoff or calendar-breaking scramble was answered in under 10 minutes with jurisdiction-level clause results—no disruption, no guesswork.

The New Belief

Legal’s job isn’t to collect tools; it’s to compound knowledge and answer the business at speed. With Contract Insights and the company brain in place, response time drops while confidence rises: attorneys reuse positions and clause context instead of re-researching them, and stakeholders get decision-ready outputs instead of document dumps. The operating model keeps humans where judgment matters and automates the repetitive retrieval and comparison work. Because matter intelligence is captured once and reused everywhere, Cargill saw research time fall by ~50% and a steady drumbeat of 10+ topic-driven insights per week (e.g., tariffs, price escalation). The department stops outsourcing memory and starts scaling it—showing up with answers (and options), not searches—elevating Legal from reactive service to an enterprise signal generator for Finance, Operations, and Risk.

The Future

Cargill is expanding the brain across high-value workflows—commercial, compliance, and regulatory—so repeat questions become repeatable capabilities. CLM remains a system of record where useful, but the brain becomes the system of understanding: cross-repository search, clause-level context, and issue tagging that travel with each matter. As coverage grows, fire drills become routine wins, insights become predictable, and leadership treats Legal as the operating blueprint for how to scale institutional judgment across the enterprise (Finance, Ops, HR). The budget story improves too: by funding Eudia from services spend and avoiding heavy new software rollouts, Cargill gains speed and leverage without the typical “pilot → rebuild → reintegrate” detours.

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