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Icertis Acquires Dioptra to Deliver AI-First Contracting Experience for Legal

Enbridge Transforms Contract Data into Strategic Business Intelligence

Centralized contract data improves visibility, compliance, and commercial decision-making at a leading energy infrastructure provider.

Challenge

Fragmented Contract Data, Manual Contract Workflows 

Enbridge is a leading North American energy infrastructure company that transports, generates, and distributes energy to fuel people’s quality of life. Through its pipeline, utility, and renewable energy businesses, Enbridge manages critical commercial relationships with shippers, vendors, and partners across its supply chain.

As Enbridge continued to expand and diversify, it needed a unified and strategic approach to managing contractual commitments across buy-side and sell-side agreements. Contracts were viewed not just as legal artifacts, but as commercial assets underpinning core business relationships. However, inconsistent storage practices, manual contracting processes, and fragmented data made it difficult to manage contract relationships holistically or unlock insights for strategic decision-making.

Gabriela Kuppe, Director, Legal Operations, Enbridge Pipelines, shared: “Ten years ago it was fully on manpower. Everything was stored somewhere, in some folder. One of the first things we emphasized was: can we bring all our contracts together?”

Without a single source of truth, teams lacked visibility into:

  • Contract obligations, risk, and compliance requirements
  • Relationships across parent and child agreements
  • Commercial terms that could influence negotiations and business strategy

“The way we see contracts at Enbridge is as an asset. They define our partnerships and the value we deliver,” Gabriela emphasized.

The organization needed a platform that could centralize its contracts, enrich them with structured data, and support business intelligence use cases.

Solution

Deploying Contract Intelligence to Standardize, Automate, and Unlock Commercial Insight

Enbridge implemented Icertis to operate as the enterprise-wide system of record for contracts. The platform not only standardized drafting and approval workflows but also ensured that each contract carried the right metadata, enabling obligations tracking, risk profiling, and data-driven reporting.

“Icertis has a good user interface. It allows you to do the drafting right there. You don’t need to upload and download,” Gabriela said.

Critical to the transformation was the structured approach to Obligations Management, allowing Enbridge to proactively track financial, operational, regulatory, and commercial commitments. “We map depending on the contract type what the requirements are, and that data moves with the contract into the Icertis system,” Gabriela shared.

Enbridge has also embraced AI innovation, often serving as an early adopter on new Icertis platform capabilities. “We’ve been the first one trying the new versions coming out so many times because we know it's going to work.”

Benefits

Unlocking Predictive, Data-Driven Contracting for Operational and Financial Advantage 

With Icertis, Enbridge now has a centralized, insight-rich view of its contractual landscape, enabling faster execution, improved compliance, and stronger commercial alignment across the organization. “One of the key benefits of the Icertis platform is searchability. It’s critical for us to find information, understand where the masters are, and where the children related to that parent agreement are.”

Most importantly, contract data is no longer fragmented - it now provides the intelligence needed to drive commercial alignment and better outcomes. “We wanted to have everything in one system because it allows you to have the information we need. Now, with Icertis, we can see the full cycle of what we’re selling versus what we’re receiving.”

This foundation is now enabling predictive and intelligence-led contracting.

And the journey continues: “Going forward we want to focus more on the prediction side. Capture the data, enable that data, and then use that data for more prediction purposes,” Gabriela concludes.

Strategic outcomes:

  • Stronger commercial control: Clear visibility into commitments, pricing, and negotiated terms
  • Reduced risk exposure: Structured obligation and compliance tracking
  • Faster contracting cycles: Standardization and workflow automation reduce legal overhead
  • Improved cross-functional alignment: One source of truth supports legal, procurement, finance, and operations
  • Readiness for predictive contracting: Structured data now feeds AI-driven analysis and forecasting