Law document bundling takes a lot of manual effort to read and verify each file. Our AI pipeline automates this by extracting key details (parties, dates, titles, etc.), helping law clients save time and focus on more important tasks.
Client:
Law firm client
My Role:
AI/ML Solutions Provider
Year:
2025
Service Provided:
AI Solution Development, API Development
In law, document bundling refers to organizing and compiling multiple related legal documents such as pleadings, contracts, and affidavits into a single, unified bundle for streamlined case preparation and reference. However, this process often demands significant manual effort to review, cross-check, and validate each document’s relevance and admissibility. To address this, we developed an AI-driven pipeline that leverages handpicked models and APIs to extract key legal attributes, including parties, dates, case titles, and jurisdiction details.
The API uses PaddlePaddle for OCR and document processing to extract key details from legal documents, while Gemini enhances semantic understanding to summarize the extracted information, seamlessly integrating with the client’s law management software to reduce manual review and improve efficiency.
Key Features:
API integration with existing law software
OCR-powered document processing using PaddlePaddle
Gemini-powered semantic analysis for smarter document insights
Automated extraction of key legal attributes
This solution enables law firms to save significant time on manual document review while enhancing the accuracy and speed of case preparation.
