Automating the contract lifecycle with AI and document intelligence
A contract intelligence platform set out to automate the legal contract lifecycle, from extracting information from scanned documents to generating new contracts from natural-language input. We engineered AI, OCR, and NLP capabilities that enabled accurate clause classification, automated contract generation, and scalable processing across millions of legal documents.
About the client
A contract intelligence company developing a digital platform to automate legal contract workflows for legal professionals and organizations.
The platform needed to handle the complete document lifecycle, including extracting information from scanned contracts, understanding and classifying contractual clauses, and generating new contracts based on natural-language requirements.
The scale of the platform added another layer of complexity. It needed to process millions of legal documents through cloud-native infrastructure while maintaining the accuracy and throughput expected in professional legal workflows.
The business challenge
Legal contracts are often stored in different formats, including scanned documents and unstructured PDFs. Extracting useful information from these documents requires reliable preprocessing and document intelligence capabilities.
Beyond extraction, the platform needed to understand the contents of contracts at the clause level. More than 600 clause types needed to be classified with high precision and recall. The system also needed to move in the other direction—from understanding legal requirements expressed in natural language to generating complete contracts.
All of this needed to operate reliably at SaaS scale across large volumes of legal documents.
Key Challenges
- Extracting reliable information from scanned and unstructured contract documents.
- Processing scanned PDFs through OCR before downstream analysis.
- Classifying more than 600 different types of contractual clauses.
- Achieving high precision and recall across diverse legal clause categories.
- Converting natural-language requirements into complete contracts.
- Supporting document generation within an integrated legal workflow.
- Processing millions of contracts through a scalable, multi-tenant SaaS environment.
- Maintaining high throughput while controlling cloud infrastructure costs.
How we solved it
We developed an AI-driven contract intelligence platform combining OCR, NLP, clause classification, document generation, and scalable SaaS infrastructure.
The document processing pipeline was designed to handle both structured and unstructured contract PDFs. OCR capabilities enabled scanned contracts to be converted into machine-readable information, creating the foundation for subsequent analysis.
We then developed a clause classification engine trained across a library of more than 600 clause types. The resulting models achieved 90%+ accuracy across categories, enabling the platform to identify and categorize contractual provisions at scale.
For contract creation, we developed natural-language-driven generation capabilities that allowed users to describe their requirements and generate contracts within the platform. An integrated DOCX/Google Docs editor provided a practical environment for reviewing and working with generated documents.
The platform was built as a scalable, multi-tenant SaaS system capable of processing large volumes of legal documents while optimizing cloud infrastructure costs.
Solution Highlights
- Integrated OCR capabilities for scanned contract extraction.
- Built document-processing pipelines for structured and unstructured PDFs.
- Developed a clause classification engine covering 600+ clause types.
- Achieved 90%+ classification accuracy across clause categories.
- Developed natural-language-driven contract generation.
- Integrated DOCX/Google Docs editing capabilities into the platform.
- Built a scalable, multi-tenant SaaS architecture.
- Engineered cloud infrastructure for high-volume parallel document processing.
- Optimized cloud usage to maintain throughput while controlling infrastructure costs.
Business outcomes
Business Impact
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The resulting platform enabled legal professionals to automate significant parts of the contract lifecycle, from document ingestion and clause analysis through to contract generation.
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The platform was adopted by 200+ law firms and processed millions of contracts through cloud-native infrastructure. Its AI capabilities enabled high-volume document classification and automated contract creation while maintaining the throughput required for professional legal workflows.
How might this challenge look in your industry?
Although this engagement focused on legal contracts, the underlying challenges of extracting intelligence from large document collections, classifying unstructured information, and automating document creation apply across industries where critical business processes depend on large volumes of complex documents.
- Financial Services
- Extracting information from loan agreements, financial documents, disclosures, and regulatory filings while automating review and classification workflows.
- Insurance
- Processing policies, claims documentation, underwriting records, and supporting documents to automate classification, extraction, and review.
- Healthcare
- Extracting and classifying information from clinical, administrative, and insurance documents while maintaining appropriate privacy and governance.
- Real Estate
- Analysing leases, property agreements, disclosures, and transaction documents to accelerate review and document workflows.
- Procurement & Supply Chain
- Processing supplier agreements, purchase documents, terms, and compliance records across large vendor ecosystems.
- Pharmaceuticals & Life Sciences
- Managing research documents, regulatory submissions, agreements, and other highly structured and unstructured documentation.
- Human Resources
- Automating extraction and analysis across employment agreements, policies, benefits documents, and employee records.
- Government & Public Services
- Processing large collections of regulations, applications, forms, case records, and administrative documents at scale.
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Facing a similar challenge?
Whether you're dealing with millions of documents, extracting intelligence from unstructured information, or looking to automate document creation and review with AI, we can help build the NLP, AI, document-processing, and cloud infrastructure required to turn complex document workflows into scalable digital systems.
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