An automated legal document processing pipeline integrating Google Drive and Forms for structured extraction and formatting, featuring a feedback loop to improve accuracy—reducing document turnaround time from days to minutes.
Legal Document Processing Automation NLP & Knowledge Systems — Case Study
An automated legal document processing pipeline integrating Google Drive and Forms for structured extraction and formatting, featuring a feedback loop to improve accuracy—reducing document turnaround
Category
NLP & Knowledge Systems
Industry
LegalTech / Real Estate
Key Impact
Document turnaround time reduced from days to minutes.
Challenge
Manual extraction of legal document serial numbers was slow and error-prone.
Solution
Automated pipeline with Google Drive + Forms integration for structured extraction and formatting.
Key Achievements
- Fully automated intake-to-template pipeline
- Feedback loop for model accuracy improvement
Tech Stack
- Python
- Google APIs
- FastAPI
- OCR
Industry
LegalTech / Real Estate
Impact
Document turnaround time reduced from days to minutes.
Related Services
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Industry Context
Where this project sits in the bigger market picture
AI systems for document review, compliance, clause extraction, and legal operations.
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