AI Contract Review
& Clause Extraction
Tech StackTechnology We Used
Project Overview
A legal operations team in the Netherlands reviewed vendor, client, and partnership agreements through manual document reading and spreadsheet tracking. Growing contract volumes slowed deal cycles, made clause comparisons inconsistent, and limited visibility into obligations across the portfolio. Starling Elevate scoped a Generative AI contract review and clause extraction platform to support faster, more consistent legal analysis.
The eight-month project used Claude Sonnet for contract understanding, Retrieval-Augmented Generation (RAG) to ground answers in firm policies and prior agreements, and Agentic AI workflows to route documents through review steps. Work covered contract ingestion, clause identification, obligation and risk analysis, structured summaries, and search across legal document repositories.
In-house counsel, contract managers, and compliance reviewers needed AI assistance that respected legal context rather than generic summaries. The scope included secure document upload, clause classification for renewals, liabilities, payments, and compliance terms, risk flagging against internal playbooks, and review dashboards for legal teams.
The team ran the project in phases: discovery of existing review workflows, legal knowledge base setup for RAG, model tuning on representative contract types, integration with document management tools, phased rollout by agreement category, and refinement based on reviewer feedback and extraction accuracy.
Business ChallengesWhy Legal Teams Need AI Contract Review
As contract volumes continued to grow, legal teams faced increasing pressure to review agreements quickly while maintaining accuracy and compliance. Traditional review processes often relied on manual analysis, making it difficult to identify critical clauses, assess contractual risks, and manage large document repositories efficiently.
Time-consuming contract review and analysis processes, leading to delays in deal closing.
Difficulty identifying critical clauses across complex legal documents.
Limited visibility into contractual obligations, risks, and compliance requirements.
Inconsistent review outcomes across legal teams and departments.
Heavy reliance on manual document analysis and clause extraction.
Challenges managing growing volumes of contracts and legal records.
Bring Intelligence to
Every Contract
Automate contract analysis, improve clause visibility, and support faster legal decision-making with Generative AI.
Architecture & DesignHow We Built the AI Contract Review Platform
Starling Elevate developed an AI-powered contract intelligence platform designed to automate contract review, clause extraction, and legal document analysis. By combining Generative AI, Retrieval-Augmented Generation (RAG), and legal knowledge retrieval, the solution enables legal teams to analyze agreements faster, identify key provisions, and gain deeper visibility into contractual obligations and risks.
Steps
Key DeliveredWhat We Delivered
We delivered an AI-powered contract intelligence platform that combines Generative AI, legal document intelligence, and contract analysis capabilities to help legal teams review agreements faster, identify critical contract terms, and improve visibility into contractual obligations and risks.
The solution streamlined contract review workflows, accelerated legal document analysis, and enabled legal professionals to make more informed decisions through AI-driven contract intelligence and clause extraction.
ImpactResults &
Business
Impact
The platform enabled legal teams to analyze agreements with greater accuracy and confidence while improving access to contractual insights, obligations, and risk-related information across the contract lifecycle.
Accelerated Contract Due Diligence
Intelligent Clause Discovery & Classification
Contract Risk Intelligence
Cross-Contract Obligation Visibility
AI-Powered Legal Knowledge Access
Faster Legal Decision Support
Consistent Contract Governance
Future FeatureThe Future of AI Contract Intelligence
As contract ecosystems become more complex and regulatory requirements continue to evolve, legal teams need greater visibility into contractual relationships, obligations, and risks. The AI Contract Review & Clause Extraction platform provides a foundation for advancing contract intelligence and supporting more strategic legal operations.
AI-Powered Contract Negotiation Insights
Cross-Contract Risk Correlation
Contract Lifecycle Intelligence
Final Summary
Starling Elevate completed this contract intelligence project over eight months for a Netherlands legal operations team. The release included a contract review platform, automated clause extraction and classification, risk detection engine, obligation tracking layer, legal knowledge retrieval, AI-generated contract summaries, repository search, and decision-support workflows integrated with existing document management tools.
The team achieved faster contract due diligence and clearer clause visibility. Review cycles shortened, critical clauses surfaced more consistently, risk and obligation tracking improved across agreements, legal knowledge became easier to access, decision support sped up, and contract governance grew more uniform across departments.
Questions and AnswersFrequently asked Questions
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AI contract review and clause extraction uses Generative AI to analyze agreements, identify key clauses, and highlight obligations and risks. Starling Elevate built a platform where legal teams upload contracts and receive structured clause summaries instead of reading every page manually.
The solution uses Claude Sonnet for contract understanding, Retrieval-Augmented Generation (RAG) to ground responses in firm policies and prior agreements, and Agentic AI workflows to orchestrate ingestion, extraction, risk analysis, and review steps in sequence.
Starling Elevate delivered this engagement over eight months for a Netherlands legal operations team. The timeline covered workflow discovery, RAG knowledge base setup, model tuning, document system integration, phased rollout by contract type, and post-launch refinement.
The client struggled with slow manual review cycles, difficulty finding critical clauses in complex documents, limited visibility into obligations and compliance requirements, inconsistent outcomes across reviewers, heavy reliance on manual extraction, and difficulty managing growing contract volumes.
Retrieval-Augmented Generation lets AI reference internal legal playbooks, prior agreements, and policy documents before summarizing clauses or flagging risks. Responses stay grounded in the firm's own standards rather than generic legal language.
The team accelerated contract due diligence, improved intelligent clause discovery and classification, strengthened contract risk intelligence, gained cross-contract obligation visibility, accessed legal knowledge faster, received quicker decision support, and maintained more consistent contract governance.
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We will reach out to you in less than 2 hours!
Make Every Contract Easier to Navigate
Use Generative AI to analyze agreements, identify key obligations, and improve visibility into legal risks across contracts.