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֍ The contract management system depicted in the diagram incorporates multiple advanced functionalities to streamline and automate various sub-tasks involved in handling contracts. At its core, the system begins with a checklist icon representing the ingestion of raw contract data, which can then be processed through various specialized modules. These sub-tasks include generating summaries, extracting tags, identifying key values, isolating specific clauses, and delineating headings. It also features capabilities for pinpointing incorrect or incomplete sentences and identifying aggressive content.

֍ The system can extract critical dates and transform PDF contracts into JSON format for enhanced machine readability and integration. Additionally, it supports the generation of new contracts and comparison of existing contracts to identify discrepancies or missing features. Each of these tasks is handled through a combination of natural language processing (NLP) and machine learning models, with the central engine being powered by GPT-3.5, known for its advanced text comprehension and generation capabilities.

֍ The contract data undergoes initial parsing and extraction processes to structure the information into a more manageable format, which is then sequentially processed through the relevant modules. The integration of these functionalities ensures that contracts are not only digitized but also semantically analyzed for crucial insights, ensuring compliance, accuracy, and efficiency.

֍ The final output is a well-organized, annotated document that provides a comprehensive view of the contract's contents, along with actionable insights, thereby significantly reducing manual effort and enhancing decision-making processes.

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