Just In Case
Build and manage legal cases against predatory business practices with intelligent document tracking
The Problem
Consumers face systematic disadvantages when disputing predatory business practices due to lack of organized documentation, missing critical deadlines, no structured approach to evidence collection, and asymmetric legal knowledge vs. corporate entities.
The Story Behind This App
Just In Case
Empower consumers to fight back against predatory business practices with intelligent case building and document management.
Key Features
1. Case Builder Module
What: Guided workflow for different case types with timeline builder and evidence categorization
Why: Provides structure to build strong cases with all necessary documentation
2. Document Intelligence
What: OCR scanning, contract analysis, and auto-detection of predatory terms and renewal clauses
Why: Automatically identifies critical information users might miss
3. Multi-Source Sync
What: Cloud backup, local storage, paper indexing with QR codes, and email/SMS integration
Why: Ensures no evidence is lost and everything is accessible when needed
4. Case History Database
What: Searchable archive with pattern recognition and outcome tracking
Why: Learn from past cases and identify recurring predatory behaviors
5. Legal Resource Integration
What: Consumer protection law database, court filing assistant, and regulatory complaint generators
Why: Provides legal knowledge and tools typically only available to corporations
User Journey
- 1 User experiences predatory business practice or unfair treatment
- 2 Creates new case with guided setup based on dispute type
- 3 Uploads documents, emails, and evidence with automatic analysis
- 4 Receives alerts for critical deadlines and action items
- 5 Builds comprehensive case file with all evidence organized
- 6 Exports documentation for court filing or regulatory complaints
- 7 Tracks case outcome and adds to searchable history
Technical Architecture
Frontend
React Native for cross-platform mobile, Next.js for web
Backend
Node.js with Express, Bull for job queues
Data
PostgreSQL for structured data, S3 for document storage, Redis for caching
APIs
- Tesseract OCR for document scanning
- OpenAI API for contract analysis
- SendGrid for email integration
- Twilio for SMS integration
- Court e-filing system APIs
Hosting
AWS with multi-region replication for data sovereignty
Moonshot Features (v2.0)
- ☐ AI lawyer chatbot for real-time legal guidance
- ☐ Class action coordination for similar cases
- ☐ Predictive case outcome modeling based on historical data
- ☐ Automatic generation of demand letters and legal documents
- ☐ Community-driven template library for successful strategies
- ☐ Integration with consumer advocacy groups for collective action
Market Research
Similar to: DoNotPay, LegalZoom, Rocket Lawyer, JusticeServed
Different because: Focus on building cases against predatory practices rather than general legal services, with emphasis on evidence management and pattern recognition
Target users: Individual consumers facing corporate disputes, small business owners with vendor conflicts, tenants with landlord issues
Open Questions
- How to ensure legal compliance across different jurisdictions?
- What level of legal advice can be provided without practicing law?
- How to verify authenticity of uploaded documents?
- Privacy implications of storing sensitive legal documents?
- Business model - subscription vs per-case pricing?
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