Legal RPA
Multi-court legal automation platform
- Python
- Playwright
- PostgreSQL
- OCR (Tesseract)
- Flask
problem
Law firms spend hours on operational tasks across multiple court systems: filing petitions, initiating and distributing new cases, registering parties and documents, and turning court publications and notices into internal tasks. Each court platform has its own workflows, authentication methods, digital certificates, sessions, and interfaces, making these processes repetitive and difficult to standardize.
solution
Development of a Python-based legal automation platform that orchestrates RPA bots across court systems such as e-SAJ, eProc, and PJe. The automations handle electronic court filing, new-case filing and distribution, data entry, document classification and upload, as well as PDF data extraction and validation using OCR when required. The platform also supports legal operations workflows by processing court publications and notices to create and route internal tasks. An internal system built with Flask and SQLite centralizes execution management, monitoring, and history.
result
Workflows that previously required tens of minutes of manual work per case can now be executed automatically and consistently, reducing repetitive tasks and allowing the legal team to focus on work that requires human analysis and decision-making.
learning
Working with legal automation showed me that integrating court systems requires much more than automating clicks. Digital certificate authentication, session handling, different interfaces, inconsistent documents, and unexpected failures demand resilient solutions with validation, monitoring, and recovery mechanisms to keep executions reliable