AI-Based Legal Assistant
Budget: €250 – €750 EUR
Simple AI wrapper
PROJECT SUMMARY: AI Law Wrapper
1. The Vision (The "Dream Outcome")
The goal is to build the first high-quality AI wrapper that acts as a digital helper for self-represented litigants in family court. We aren't selling "AI"; we are providing the roadmap and the finished document to someone in a high-stress, low-information environment. Success is defined by a user going from "I'm lost" to "I have a completed filing".
2. Core Business Logic
We are attacking the Effort & Sacrifice variables of the Value Equation. By parsing complex court documents and suggesting procedural "Next Steps," we remove the friction of the user having to "learn the law" just to respond to a motion.
TECHNICAL SCOPE (v1.0)
A. Intake & Analysis Module (The "Instant Insight")
• Multi-Format Parsing: Support for .pdf (text-based and scanned OCR) and .docx uploads.
• Case Summarization: AI extracts key facts (hearing dates, parties, disputed issues) and presents a 5~7-bullet "Case Status."
• Procedural Logic Engine: Based on the upload, the system identifies the document type and suggests the top 3 logical "Next Actions" (e.g., "You received an FL-300; you must now file an FL-320").
B. Generation Module (The "Drafting Desk")
• Prompt-Stacking Architecture: A "Legal expert" System Persona that wraps user inputs into structured court declarations (Facts-only, numbered paragraphs).
• Memory Integration: A "Project-style" feature where the AI retains the context of the uploaded case files so the user doesn't have to repeat themselves in subsequent sessions.
• Output Formats: One click "Copy to Clipboard" and "Download as pdf"
C. Infrastructure & Payments
• Identity Management: Simple login via Email
• Payment Gateway: Integration with Stripe or Helcium etc for subscription access.
• Admin Dashboard: Backend view to monitor token usage, latency, and etc
D. Privacy & Security Protocol (taking a suggestion)
• Encrypted Storage: User-uploaded PDFs must be stored in an AWS S3 bucket (or similar) using AES-256 encryption at rest.
• Session-Limited Access: Files are stored privately and only loaded in the app using short-lived Signed URLs (e.g., 5–10 minutes). The Signed URL is generated only after login + permission checks and is used for on-screen viewing (not exposed as a permanent public download link), reducing the risk of unauthorized access if a link is copied or leaked.
• Hard-Delete Protocol: A programmatic "Wipe" function that deletes both the database record and the physical file from storage upon user request.
PROJECT SUMMARY: AI Law Wrapper
1. The Vision (The "Dream Outcome")
The goal is to build the first high-quality AI wrapper that acts as a digital helper for self-represented litigants in family court. We aren't selling "AI"; we are providing the roadmap and the finished document to someone in a high-stress, low-information environment. Success is defined by a user going from "I'm lost" to "I have a completed filing".
2. Core Business Logic
We are attacking the Effort & Sacrifice variables of the Value Equation. By parsing complex court documents and suggesting procedural "Next Steps," we remove the friction of the user having to "learn the law" just to respond to a motion.
TECHNICAL SCOPE (v1.0)
A. Intake & Analysis Module (The "Instant Insight")
• Multi-Format Parsing: Support for .pdf (text-based and scanned OCR) and .docx uploads.
• Case Summarization: AI extracts key facts (hearing dates, parties, disputed issues) and presents a 5~7-bullet "Case Status."
• Procedural Logic Engine: Based on the upload, the system identifies the document type and suggests the top 3 logical "Next Actions" (e.g., "You received an FL-300; you must now file an FL-320").
B. Generation Module (The "Drafting Desk")
• Prompt-Stacking Architecture: A "Legal expert" System Persona that wraps user inputs into structured court declarations (Facts-only, numbered paragraphs).
• Memory Integration: A "Project-style" feature where the AI retains the context of the uploaded case files so the user doesn't have to repeat themselves in subsequent sessions.
• Output Formats: One click "Copy to Clipboard" and "Download as pdf"
C. Infrastructure & Payments
• Identity Management: Simple login via Email
• Payment Gateway: Integration with Stripe or Helcium etc for subscription access.
• Admin Dashboard: Backend view to monitor token usage, latency, and etc
D. Privacy & Security Protocol (taking a suggestion)
• Encrypted Storage: User-uploaded PDFs must be stored in an AWS S3 bucket (or similar) using AES-256 encryption at rest.
• Session-Limited Access: Files are stored privately and only loaded in the app using short-lived Signed URLs (e.g., 5–10 minutes). The Signed URL is generated only after login + permission checks and is used for on-screen viewing (not exposed as a permanent public download link), reducing the risk of unauthorized access if a link is copied or leaked.
• Hard-Delete Protocol: A programmatic "Wipe" function that deletes both the database record and the physical file from storage upon user request.