Why the data model matters in contract intelligence

Simon Davies
Relationship Management Director

03 August 2026


Many organisations focus on AI when discussing contract digitisation.

In reality, the biggest challenge is often the data model sitting underneath it.

A contract intelligence platform is only as valuable as the structure, consistency and usability of the data it creates.

At Likezero, we’ve spent years building a contract data model specifically designed for global markets and complex financial agreements.

Our platform currently supports a broad range of agreement types including:

  • ISDA Master Agreements
  • Credit Support Annexes (CSA), including legacy, VM and IM
  • Global Master Repurchase Agreements (GMRA)
  • Securities Lending Agreements
  • Prime Brokerage Agreements (PBA)
  • Custody Agreements
  • Credit and Guarantee Documentation
  • Fund Documentation
  • Regulatory and ancillary legal documentation 

Across these document types, our data model supports over 3,000 contractual attributes, covering economic terms, legal provisions, collateral arrangements, defaults, termination rights, ratings triggers, guarantees, eligible collateral, regulatory clauses and a wide range of bespoke negotiated language. This model has been developed across over 1 million documents and deployed at scale across portfolios containing more than 150,000 agreements and millions of extracted data points.

Importantly we’ve cracked the code of managing entities against multiple agreement types and document families, so firms can see at a glance what contractual terms they have against within a particular bank entity against the counterparts involved. That covers fund / umbrella agreements too.

But scale alone isn’t enough.

What’s becoming increasingly important is alignment to industry standards.

Likezero’s data architecture has been designed to be flexible and align closely with the Common Domain Model (CDM), enabling firms to map contractual obligations, legal events, lifecycle processes and counterparty relationships into standardised and interoperable structures.

This delivers several advantages:

  • Improved consistency across legal, risk and operations functions.
  • Easier integration into enterprise data platforms.
  • Enhanced regulatory reporting capabilities.
  • Faster onboarding of new products and workflows.
  • Better interoperability with industry utilities and ecosystem partners.
  • A foundation for future automation and digital asset initiatives – particular with the adoption of distributed ledgers, tokenisation & smart contracts, along with the increasing use of AI.  

As financial institutions continue to invest in data quality, operational resilience and AI readiness, contract intelligence is increasingly moving beyond document digitisation.

The real objective is creating a trusted, standardised contractual data asset that can be consumed across the enterprise.

That’s where a robust data model becomes the differentiator.

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