Client Background
Applied Intuition, a leading innovator in autonomous vehicle simulation technology, expanded its automation capabilities into legal operations through a new AI-driven NDA management platform. The platform leveraged Nanonets for intelligent document processing to extract and validate critical fields from Non-Disclosure Agreements, such as confidentiality periods, termination dates, and decision rights.
To ensure the platform’s precision, reliability, and compliance, Applied Intuition engaged NextGen Coding Company to perform a comprehensive Quality Assurance (QA) program combining manual validation, functional testing, and compliance verification across diverse document formats and workflows.
The Problem
The NDA automation platform needed to undergo end-to-end validation to confirm accuracy, performance, and regulatory compliance. Applied Intuition’s priorities included:
Ensuring accurate data extraction for critical NDA fields across multiple formats.
Validating functionality and edge cases for complex document structures.
Testing usability and accessibility, ensuring the platform met WCAG 2.1 standards.
Verifying GDPR and CCPA compliance, particularly in data handling, encryption, and export.
Maintaining scalability and reliability, even during high-volume NDA processing.
The QA challenge was to build confidence in the platform’s ability to handle real-world document variations while maintaining legal and data protection standards.
Our Solution
NextGen Coding Company implemented a comprehensive QA and manual validation strategy, combining front-end testing, workflow validation, and compliance auditing.
Front-End Workflow Testing
Validated all primary user interactions — uploading, processing, and exporting NDAs.
Simulated diverse NDA formats, including multi-party and non-standard clause structures, to ensure correct extraction of confidentiality periods, termination dates, and marking requirements.
Conducted cross-browser and device testing to confirm consistent functionality across environments.
End-to-End Workflow Validation
Assessed the full workflow lifecycle — from upload through extraction, review, and CSV export.
Manually tested complex cases such as overlapping clauses, missing termination dates, and nested confidentiality terms.
Confirmed logical consistency between extracted fields and document source data.
Exploratory and Edge Case Testing
Evaluated documents containing non-standard formatting, ambiguous clauses, and irregular date patterns to ensure stable AI behavior.
Tested third-party NDAs and templates with varying field positions, verifying field alignment accuracy.
Documented anomaly detection metrics and fine-tuned validation logic accordingly.
Usability and Accessibility Testing
Performed manual usability testing to streamline key workflows, reducing redundant user actions.
Ensured interface compliance with WCAG 2.1 accessibility standards, enabling support for assistive tools like screen readers.
Validated UI responsiveness and performance under concurrent user conditions.
Compliance and Security Verification
Manually audited data handling procedures to ensure full GDPR and CCPA compliance.
Verified encryption standards during both processing and export stages.
Conducted vulnerability scanning and penetration testing to ensure platform security.
Continuous Integration and Deployment (CI/CD) Testing
Integrated QA workflows within the CI/CD pipeline to ensure automatic testing before every release.
Employed New Relic monitoring for real-time performance metrics and proactive issue detection.
Streamlined regression testing cycles to maintain product stability with every update.
Results
NextGen’s QA initiative significantly enhanced Applied Intuition’s NDA automation platform, strengthening its reliability, accuracy, and compliance.
98% accuracy rate in data extraction and validation across complex NDA formats.
60% reduction in manual review time, achieved through automated data verification and validation scripts.
30% faster deployment through QA-embedded CI/CD pipelines and automated regression workflows.
50% increase in document handling capacity, validated through load testing and scalability benchmarking.
Full GDPR and CCPA compliance, confirmed through audit-based validation and encryption verification.
Improved user experience, with streamlined navigation reducing workflow steps by 30% and ensuring accessibility for all users.
By applying rigorous QA practices and compliance-driven testing, NextGen Coding Company ensured Applied Intuition’s NDA automation platform operated at peak accuracy, scalability, and trustworthiness—setting a new benchmark for AI-powered legal workflow validation.
Why It Matters
Applied Intuition’s QA success demonstrates the critical role of manual validation, compliance testing, and AI verification in scaling automation platforms. As enterprises adopt document AI, ensuring functional reliability, accessibility, and data protection becomes essential.
NextGen’s quality assurance framework bridges the gap between innovation and trust, combining engineering precision with regulatory rigor to future-proof enterprise automation.
Call to Action
NextGen specializes in QA engineering for AI-powered platforms, ensuring reliability, compliance, and end-user trust. Our team blends advanced testing methodologies with scalable automation to validate even the most complex enterprise systems.
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