AI-Powered Document Processing for Legal Firms

Tech Stack: RAG, Python, PostgreSQL, Docker, AWS Sagemaker

Background:
A legal services firm in Germany sought to automate document processing, including extracting key clauses and generating summaries for compliance checks.

Challenge:
Manual document reviews were slow, error-prone, and expensive, especially for multilingual contracts.

Solution:
An AI-powered document processing platform was developed using RAG technology for clause extraction and summarization. Python handled the backend, PostgreSQL stored document metadata, and AWS Sagemaker trained AI models for multilingual support.

Impact:

• Speed: Reduced document review time by 80%.
• Accuracy: Increased compliance accuracy by 25%.
• Cost Efficiency: Saved €100,000 annually in operational costs.

Tech Stack: RAG, Python, PostgreSQL, Docker, AWS Sagemaker Background:A legal services firm in Germany sought to automate document processing, including extracting key clauses and generating summaries for compliance checks. Challenge:Manual document reviews were slow, error-prone, and expensive, especially for multilingual contracts. Solution:An AI-powered document processing platform was developed using RAG technology for clause extraction and…

Tech Stack: RAG, Python, PostgreSQL, Docker, AWS Sagemaker Background:A legal services firm in Germany sought to automate document processing, including extracting key clauses and generating summaries for compliance checks. Challenge:Manual document reviews were slow, error-prone, and expensive, especially for multilingual contracts. Solution:An AI-powered document processing platform was developed using RAG technology for clause extraction and…