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Understand critical terms, identify clause-level risks, and monitor obligations in your legal agreements at enterprise scale. Enable faster reviews, unlock true value & new revenue opportunities, and transform fragmented contract data into clean, structured intelligence.
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Contracts represent one of the biggest sources of unstructured data in corporations. Managing and analyzing this data requires precise extraction and contextual interpretation. However, most contract analysis software relies on rigid, rules-based frameworks with limited adaptability. This creates critical gaps and inefficiencies across the contract lifecycle.
Contracts exist in multiple formats, such as PDFs, scanned images, paper documents, and HTML files. Extracting data from these varied formats requires significant manual effort, which leads to inefficiencies and heightens error risks.
Defined terms and dependencies are often misinterpreted, and key fields are captured without complete contextual understanding. This translates into incomplete or inaccurate insights and increases the risk of missed obligations, financial exposure, and regulatory penalties.
Current solutions lack multi-layered intelligence to validate contractual data against counterparty records. Therefore, discrepancies such as duplicate contracts, incorrectly stated terms, or even potential fraud often go undetected.
Contract data is often fragmented across siloed systems without a centralized repository or single source of truth. This makes it difficult for teams to search, monitor, respond to audits, or address regulatory inquiries efficiently.
Collatio Contract Intelligence is Scry AI’s contract analytics platform that automatically ingests, classifies, interprets, and reconciles critical data from complex contracts. Powered by domain-trained AI, ML, and NLP models, it operationalizes agreements that govern commercial relationships.
The platform captures and structures key elements such as dates, commitments, dependencies, financial terms, and compliance requirements, irrespective of format or layout. Its multi-layer cognitive architecture enables real-time search and analysis of contract data, and validation against contract terms, regulatory frameworks, and counterparty records, while flagging discrepancies before they become liabilities. This supports cross-functional use cases such as risk assessment, renewal tracking, obligation monitoring, supplier governance, and post-execution commercial visibility.
The Collatio Contract Intelligence Platform enables organizations to process contracts at scale through precise data extraction, reconciliation, and risk analysis.
Collatio uses domain-trained natural language processing, advanced optical character recognition, and machine learning to read and extract contract data across different formats and layouts. The platform identifies and captures defined terms, party information, financial obligations, key dates, indemnity provisions, and governing law clauses, while also understanding relationships between fields to improve accuracy without relying on fixed templates. The extracted data is then standardized, which reduces manual review effort and improves consistency across large volumes of documents.
Extracted contract data is compared with related documents such as master service agreements, statements of work, purchase orders, amendments, side letters, and renewal schedules. The reconciliation engine identifies conflicts, inconsistencies, and missing elements across the full set of linked documents, highlighting gaps that are often missed when documents are reviewed separately. Configurable tolerance thresholds define which contracts or document sets require manual intervention, and which can be processed automatically.
The platform evaluates contract data in line with regulatory frameworks and defined obligations, including data privacy laws, financial regulations, and industry-specific requirements. It flags non-standard clauses, missing provisions, and unusual terms that need attention, and generates alerts linked to key events such as renewals, notice deadlines, performance milestones, and payment obligations. This helps legal and business teams stay compliant, monitor risk exposure, and take timely action.
The platform brings contract data and related documents into a connected repository, making it easier to search across agreements, amendments, statements of work, schedules, and annexures from one place. Users can find and review contract information by clause, obligation, counterparty, commercial term, date range, or tagged metadata, while AI-supported search helps surface relevant language, risks, and patterns across the portfolio. Because results stay linked to the source contract and supporting documents, legal, procurement, and operations teams can trace each insight back to its origin, verify context, and work from a trusted system of record.
Validated contract data connects directly with enterprise systems such as ERP, CRM, accounts payable, and contract lifecycle management platforms through secure APIs. This ensures contract terms are reflected accurately in operational workflows and downstream processes and supports integration across both modern SaaS systems and legacy environments.
Our contract intelligence platform delivers measurable ROI and tangible business impact after implementation.
Extraction accuracy across varied and complex contract formats
Drop in processing costs through intelligent automation
Data source integrations through pre-built connectors
Faster contract review
Contracts are ingested through various enterprise channels, including email forwarding, API integrations, SFTP uploads, Google Drive synchronization, and Amazon S3. The system supports a wide range of formats, such as PDFs, scanned images, TIFF files, Word documents, and spreadsheet-based schedules. Once ingested, the pre-processing pipeline enhances and standardizes document quality. It de-skews images, removes noise, adjusts contrast, and converts content into a machine-readable format.
Collatio Contract Intelligence identifies the contract type based on document structure, linguistic patterns, and key indicators. It then applies domain-trained models to interpret the document in its proper context. Using embedded domain intelligence, the system recognizes relevant clauses, terms, and data points across various formats. This context-aware approach enables the models to identify what information needs to be extracted and establishes how different elements within the contract relate to each other, adapting to both standard and custom agreement types.
The system applies advanced OCR, domain-trained models, and NLP techniques to extract contract data with high precision. It extracts key fields such as parties, dates, financial terms, obligations, and clauses, and organizes them into a structured format for downstream systems. The platform captures both the semantics and the relationships between data elements, including dependencies such as conditions, triggers, and cross-clause linkages, so that the extracted information remains complete and usable.
The platform validates extracted data against related contracts, supporting documents, and internal records. It compares key elements such as payment terms, scope, and obligations across referenced agreements to ensure consistency and alignment. When discrepancies, missing information, conflicting terms, or threshold deviations are identified, the system flags exceptions and routes them to designated reviewers with full document context. Reviewers validate, correct, and approve the data, with each action captured to continuously improve model accuracy.
Validated contract data is delivered to connected enterprise systems through secure API integrations and stored in a centralized repository as structured, searchable records. This allows legal, procurement, finance, and compliance teams to access and use contract data directly within their workflows without requiring manual document review. All processing activities, including extraction, validation, and user actions, are recorded to maintain a complete and traceable system record for governance and audit purposes.
Collatio Contract Intelligence processes a wide range of contracts, agreements, and supporting documents, whether structured, semi-structured, unstructured, or even handwritten.
Built to meet enterprise-grade security, auditability, and regulatory requirements, ensuring contractual data remains protected, traceable, and compliant across its lifecycle.
SOC 2 Type II compliant and ISO 27001 certified, with end-to-end encryption to safeguard sensitive contractual and legal data.
Every document, extracted field, validation step, and human intervention is recorded in an immutable audit trail, enabling full transparency and accountability.
Supports cloud, on-premises, and hybrid deployment models to align with data residency, regulatory, and jurisdictional requirements.
We are trusted by enterprises globally.
Collatio applies configurable, purpose-built AI to deliver modern solutions across finance, manufacturing, and document operations.
Connect with your existing enterprise platforms through APIs and direct data exchange, keeping your workflows intact and your teams in sync.
Reduce risk, lower contractual costs, and minimize errors by transforming how you analyze and manage contracts.
Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.
Find answers to common questions related to contract intelligence, its use cases, and how it delivers value to enterprise teams.
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