Divorce cases often involve mountains of legal documents, lengthy testimonies, and complex legal precedents. Our AI-powered Divorce Case Summarizer is designed to streamline this process, providing lawyers with concise, actionable case summaries in seconds. This tool extracts key legal insights and organizes them for quick reference, reducing research time and improving efficiency.
- AI-Powered Summarization – Converts lengthy case files into structured, digestible summaries.
- Legal Terminology Awareness – Maintains the integrity of legal language while simplifying content.
- Key Insight Extraction – Identifies crucial case details, including precedents, arguments, and rulings.
- Confidentiality & Security – Processes sensitive data with privacy-first design principles.
- User-Friendly Interface – Simple and intuitive input/output for seamless workflow integration.
- Stores Previous Cases for future reference - Allows users to store previous cases for future reference or any new updates within the case.
- Backend: Python
- AI Engine: OpenAI GPT-3.5 Turbo
- Frontend: Python
Designed for family law attorneys, legal researchers, and paralegals, our tool drastically reduces the time spent analyzing case files, allowing professionals to focus on strategy rather than paperwork.
Developed for Girls In Tech Hackathon 2025 by:
- Marc
- Jovan
- Ravleen
- Paris
- Multi-Document Comparison – Cross-analyze multiple cases for pattern recognition.
- Multiple new Subsections of Law – Expand to cover additional legal domains, such as criminal law or corporate law.
- Citation Generation – Automatically suggest references to related case law.
- Speech-to-Text Support – Process courtroom transcripts on the fly.
MIT License – Open for innovation, collaboration, and legal tech advancement.
For inquiries or collaboration opportunities, reach out to us at jkalir01@student.ubc.ca.