Pakistani Legal Document AI Assistant

Job ID: 40508750

Budget: $10 – $30 USD

I am building an AI-driven tool that can draft a full range of Pakistani legal documents—lawsuits, applications, appeals and more—while automatically sourcing, citing and applying the relevant statutes, rules and case-law published on official government websites.

Scope of law
The engine must work across Criminal Law, Civil Law and Corporate Law. Whenever I supply a fact pattern or fill out a guided questionnaire, the system should pull the appropriate provisions, weave them into a well-structured pleading and flag any missing information it still needs.

Interactive legal Q&A
In addition to document generation, the same knowledge base should power a question-and-answer feature that returns clear, reference-backed advice both as text and as synthesized voice. A user might ask “What limitation period applies to an employment dispute?” and receive an instant spoken and written answer with links to the cited statute.

Core requirements
• Real-time retrieval of Pakistani statutes, rules and judgments from publicly available government sources, with automatic updates when the law changes.
• Natural-language document drafting that produces court-ready formatting (margins, headings, prayer clauses, signature blocks).
• Dual-mode response system: text chat plus microphone/speaker support using speech-to-text and text-to-speech.
• Simple, secure web or mobile interface where advocates can open a matter, enter facts, review the AI draft, edit inline and export to Word/PDF.
• Admin dashboard to manage users, monitor usage analytics and add custom precedents.

Acceptance criteria
1. Given a sample fact set for each of the three legal areas, the tool generates a pleading that passes review by a practicing Pakistani lawyer.
2. The Q&A module returns an accurate, cited answer within 10 seconds for at least 90 % of test questions.
3. Statutory citations link back to the exact provision on the originating government site.

Please outline your proposed tech stack (e.g., Python, Node, LLM APIs, speech libraries), timeline and any prior work with legal NLP or Pakistani law.