"Turn chaos into clarity"
Upload texts, emails, PDFs, and documents — then auto-tag events, visualize timelines, and export court-ready reports. Transform scattered evidence into a clear, chronological narrative.
Legal cases generate mountains of unstructured evidence — text messages, emails, photos, PDFs, handwritten notes. Organizing this into a coherent timeline is exhausting, error-prone, and often beyond the capacity of self-represented litigants. Attorneys spend hours on manual chronology construction.
The Evidence Timeline Builder ingests raw evidence, auto-tags events with dates and categories, generates interactive timeline visualizations, and exports court-ready chronological reports — turning chaos into clarity in minutes.
- Parents in custody cases can clearly present patterns of behavior
- Attorneys save 10+ hours per case on timeline construction
- Courts receive organized, chronological evidence presentations
- Advocates quickly identify gaps and patterns in evidence
┌─────────────────────────────────────────┐
│ Evidence Upload Interface │
│ (Texts, Emails, PDFs, Images, Docs) │
├─────────────────────────────────────────┤
│ Parsing + Extraction Engine │
│ (OCR, Email Parser, PDF Reader) │
├──────────┬──────────┬───────────────────┤
│ Auto │ Date │ Category │
│ Tagger │ Extract │ Classifier │
├──────────┴──────────┴───────────────────┤
│ Timeline Visualization Engine │
├──────────┬──────────────────────────────┤
│ Court │ Interactive │
│ Report │ Timeline │
│ Export │ View │
└──────────┴──────────────────────────────┘
| Layer | Technology |
|---|---|
| Frontend | React + D3.js / vis-timeline |
| Backend | Node.js or Python (FastAPI) |
| Parsing | Tesseract OCR, pdf-parse, email-parser |
| NLP | spaCy / Hugging Face (entity + date extraction) |
| Storage | S3 + PostgreSQL |
| Export | PDF (court-ready) + DOCX + CSV |
| Feature | Description |
|---|---|
| Multi-Format Upload | Texts, emails, PDFs, images, screenshots, documents |
| Auto-Tagging | NLP-powered event detection and categorization |
| Date Extraction | Automatically pull dates from unstructured content |
| Timeline Visualization | Interactive, zoomable, filterable timeline view |
| Court-Ready Export | Generate formatted chronological reports for court |
| Evidence Linking | Connect timeline events to source documents |
| Gap Detection | Identify missing time periods in the evidence record |
| Pattern Analysis | Surface recurring behaviors and escalation patterns |
git clone https://github.com/yourusername/evidence-timeline-builder.git
cd evidence-timeline-builder
npm install
cp .env.example .env
npm run dev- Parents documenting patterns in custody disputes
- Attorneys building case chronologies efficiently
- Advocates & GALs reviewing evidence from multiple sources
- Self-represented litigants organizing their evidence for court
- Investigators mapping event sequences
- Multi-format upload pipeline
- OCR + PDF + email parsing engine
- NLP date and event extraction
- Interactive timeline visualization
- Court-ready report generator
- Evidence gap detection
- Pattern analysis engine
- Bulk import (zip file support)
We welcome contributions! See CONTRIBUTING.md for guidelines.
MIT License — See LICENSE for details.
This project is provided for informational and educational purposes only and does not constitute legal advice, legal representation, or an attorney-client relationship. No warranty is made regarding accuracy, completeness, or fitness for any particular legal matter. Always consult a licensed attorney in your jurisdiction before making legal decisions. Use of this software does not create any professional-client relationship.
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