Web · NLP product
Legal Text Summarization (NLP)
Product Builder · NLP
Condenses 50-page legal contracts into clear, actionable summaries using T5/Pegasus Transformers — saving hours of manual review.
GitHub ↗APK soon
NLP Impact: Up to 80% less review time
Document in
Legal Text Summarization (NLP)
Summary out
Workspace
Product workspace
Browser frames for document in → insight out workflows.
product.app
product.app
product.app
product.app
Product story
Overview
Summarizes long legal documents into short, readable points anyone can understand.
What I built
- Long-document summarization with T5 / Pegasus
- Actionable briefs instead of generic paraphrases
- Readable structure for non-legal stakeholders
- Consistent summary format across contracts
- Designed to cut review time dramatically
What's unique
- Transformer models (T5/Pegasus) tuned for long text
- Focus on actionable summaries (not generic paraphrasing)
- Readable outputs for non-technical users
Why it matters
- Saves hours of manual reading
- Improves decision speed for teams
- Reduces missed details with consistent structure
Craft
How the web experience was engineered
PythonTransformersT5PegasusNLPPyTorch
Open the project
Explore Legal Text Summarization (NLP)
GitHub ↗APK soon
GitHub ↗APK soon