Unlocking Contract Intelligence Across Complex Royalty Agreement Portfolios

Customer Overview

A global technology company managed a large portfolio of licensing, royalty, and commercial agreements tied to revenue streams, payment obligations, partner relationships, renewals, amendments, and compliance requirements.

As agreement volume and complexity increased, the organization needed a scalable way to extract and analyze detailed commercial terms, improve operational efficiency, strengthen contract governance, and access business-critical insights across thousands of contract documents.

The Challenge

Contracts governed critical financial obligations, royalty payments, and commercial commitments, but key information was buried across lengthy agreements, amendments, addendums, and licensing documents.

The contracts team relied on manual review to identify commercial terms, obligations, royalty rates, payment milestones, renewals, amendments, and exceptions. This slowed royalty calculations, payment tracking, contract lifecycle management, and compliance monitoring. As contract volumes grew, maintaining visibility and consistency across the portfolio became increasingly difficult.

The organization faced several challenges:

Manual extraction of contract attributes and commercial terms

Difficulty tracking royalty rates, payment obligations, and milestones

Limited visibility into amendments, renewals, and contract changes

Challenges identifying non-standard clauses and exceptions

High effort required to search and analyse contract repositories

Risk of missing critical terms affecting financial outcomes

The Solution

Scry AI implemented its Contract Intelligence, Key-Value Pair Extraction, and Reconciliation solution to automate the interpretation of royalty and licensing agreements. The solution converted static contract documents into structured, searchable, and actionable business intelligence.

Automated Contract Classification

The platform automatically classified agreements, amendments, addendums, and supporting contract documents to prepare them for accurate extraction and analysis.

Key-Value Pair Extraction

Critical contract attributes and commercial terms were extracted and digitized, including contracting parties, royalty rates, payment schedules, effective dates, tax provisions, and contractual obligations.

Structured Data for Business Use

Extracted contract information was organized into a standardized format, making it easier to use across royalty calculations, payment tracking, compliance monitoring, and downstream business processes.

Non-Standard Clause Detection

The solution identified non-standard clauses, deviations, and contractual exceptions, enabling teams to review higher-risk terms more proactively.

Results at a Glance

Metric	Outcome
Straight-Through Processing	More than 95% across agreements
TLA Document Accuracy	99.4% accuracy
Non-TLA Document Accuracy	95.6% accuracy
Contract Data Extraction	Automated categorization of agreement types
Contract Classification	Faster registration, validation, and status updates
Risk Identification	Improved detection of non-standard clauses and terms
Operational Efficiency	Significant reduction in manual contract review effort
Contract Visibility	Faster search and access to contractual information

Turning Contracts into Actionable Business Intelligence

Scry AI’s Contract Intelligence, Key-Value Pair Extraction, and Reconciliation solution helped the organization replace manual contract reviews with a scalable, data-driven contract management process. The organization improved governance, accelerated decisions, strengthened compliance oversight by converting complex agreements into structured intelligence

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