NyayaSetu
AI-powered legal automation platform designed to ease access to justice in India and beyond.
Working name: NyayaSetu (Bridge to Justice)
Mission: To automate legal understanding, drafting, and workflows so that individuals and
businesses can act confidently without always needing a human lawyer for routine issues.
1. Concept Overview
NyayaSetu is envisioned as a legal intelligence and automation portal that handles:
- Legal document drafting and contract generation
- Plain-language legal question answering
- Automated workflows for filings and compliance
- Dispute support and negotiation assistance
- Case analytics and outcome insights in later phases
The aim is not to remove lawyers entirely, but to reduce friction, cost, and dependency for routine matters while keeping humans in the loop for complex cases and validation.
2. Alternative Names and Branding
Brand Essence
The platform must communicate trust, clarity, precision, and modern automation while remaining approachable for non-lawyers.
- Trustworthy like a law firm
- Friendly like a helpdesk
- Powerful like an AI engine
Suggested Name Families
| Category | Example Names | Tone and Meaning |
|---|---|---|
| Authority focused | JurisFlow, LexBeacon, LawAxis, EdictAI | Institutional, serious, suitable for enterprise users |
| India-centric identity | NyayaSetu, KanoonMitra, NyayaAI, KanoonFlow | Connects to Indian legal culture and language |
| Automation and AI | LegalSynth, AutoCounsel, RoboJuris, LawMind | Directly signals AI and automation |
| Human friendly | LawBuddy, RightPath Legal, LegalEase, ClearCounsel | Approachable and reassuring for lay users |
Preferred working choice: NyayaSetu – leveraging Indian roots while remaining understandable to global audiences.
3. Technical Architecture Blueprint
The architecture is designed as layered, modular, and India-focused, with room to expand to other jurisdictions.
────────────────────────────────────────────── USER INTERFACE LAYER ────────────────────────────────────────────── - Web app (React, Next.js) - Mobile app (Flutter / React Native) - Multilingual voice interface (Hindi, English, regional languages) ────────────────────────────────────────────── APPLICATION LOGIC AND AI LAYER ────────────────────────────────────────────── 1. Legal NLP Engine (LLM) - Legal reasoning - Drafting and summarisation - Question answering 2. Rule-Based Engine - IPC and criminal codes - Company and tax law logic - Court form logic - Procedural timelines 3. Workflow Engine - E-filing automation - Document review flows - Notifications and reminders ────────────────────────────────────────────── DATA INTELLIGENCE AND COMPLIANCE LAYER ────────────────────────────────────────────── - India-specific laws knowledge graph - Case law and precedent similarity search - Explainability and confidence scoring - Mandatory legal citations ────────────────────────────────────────────── STORAGE AND SECURITY LAYER ────────────────────────────────────────────── - Encrypted user and matter records - Document storage and templates - Full audit logs of AI reasoning ────────────────────────────────────────────── INTEGRATION LAYER ────────────────────────────────────────────── - DigiLocker - Aadhaar eSign - eCourt and eFiling portals (where available) - MCA21, IP India, GST, RERA and other government systems (future) ────────────────────────────────────────────── INFRASTRUCTURE ────────────────────────────────────────────── - Cloud (India region) - Microservices with containers - Backup, monitoring, high availability
Core Components
- Legal NLP engine (fine-tuned legal language model)
- Rule engine for statutory and procedural logic
- Knowledge graph of laws, sections, and cross-references
- Template and document generation engine
- Case workflow and reminder system
- Security, auditability, and compliance layer
Tech Stack Direction
Indicative stack for implementation:
- Frontend: React or Next.js, Tailwind CSS, TypeScript
- Mobile: Flutter or React Native
- Backend: Node.js or Python (FastAPI, NestJS, etc.)
- Database: PostgreSQL, ElasticSearch for legal search
- AI: Hosted or self-hosted LLMs, vector database
- Cloud: AWS, GCP or Azure in India region
4. Business Pitch Deck Overview
Problem
- Most people in India struggle to access timely, affordable legal help.
- Legal language and procedures are complex and intimidating.
- Routine legal tasks consume lawyers’ time and increase cost for end-users.
Vision
Justice that is accessible, automated, and affordable: turning legal complexity into simple guided workflows powered by AI.
Solution
- AI-assisted legal question answering in plain language
- Guided creation of legally compliant documents and notices
- Automated preparation of forms for courts and government portals
- Case and deadline management with alerts and reminders
Why Now
- Rapid digitisation: eCourts, eFiling, Digital India, Aadhaar
- Growing comfort with AI chatbots and online services
- Huge gap in access to justice for individuals and SMEs
Market and Model
- Large legal services market in India with strong growth potential
- Target users: individuals, startups, SMEs, and enterprises
- Revenue models:
- Freemium basic Q and A and templates
- Subscription tiers for users and businesses
- Pay-per-filing and value-added services
- Enterprise and government partnerships
Product Roadmap (High Level)
- MVP: contract automation and consumer grievance workflows
- Phase 2: broader coverage of civil, employment, and small-business law
- Phase 3: litigation support, case clustering, and insights
- Phase 4: multi-language and multi-jurisdiction expansion
5. UI and UX Workflow Concepts
Flow A: Create a Legal Document
- User lands on home screen and chooses an issue, for example rental agreement.
- Platform asks simple, guided questions in everyday language.
- Document preview updates as answers are provided.
- AI checks for missing details and suggests clauses.
- Final document generated and offered for Aadhaar eSign and download.
Flow B: Ask a Legal Question
- User types a question such as “My cheque bounced, what can I do?”
- Platform explains rights, applicable law sections, and practical options.
- Option to auto-generate a legal notice or complaint based on the scenario.
- User reviews and edits, then exports or sends via recommended channel.
Flow C: Case and Matter Management
- User adds a matter with basic details and uploads documents.
- System builds a timeline of steps, deadlines, and hearing dates.
- Automated reminders for limitation periods, responses, and hearings.
- Dashboard view of all open matters and their status.
Design Language
- Minimal, clean interface with strong focus on readability
- Clear progress indicators and checklists for each workflow
- Bilingual interface: Hindi and English first, regional languages over time
- Consistent iconography for types of actions: draft, file, sign, track
6. India-Specific Legal Datasets
Core Data Sources
- Bare acts and statutes
- Indian Penal Code, Criminal Procedure Code, Civil Procedure Code
- Indian Evidence Act, Contract Act, Company law, IT Act
- RERA, GST, Consumer Protection, RTI, and allied laws
- Court forms and procedural rules
- Supreme Court, High Courts, District Courts formats
- Consumer forums, tribunals, RTI formats
- Case law and judgments
- Supreme Court and High Court judgments
- Tribunals such as NCLT, NCLAT, ITAT, CAT (subject to licensing)
- Template library
- Rent agreements, partnership deeds, NDAs
- Employment contracts and HR policies
- Notices, replies, and undertakings
Multilingual Layer
To truly democratise access, the AI layer must understand how people ask legal questions in Indian languages, including mixed language usage.
- Hindi legal questions and explanations
- Common regional law terms mapped to formal legal terminology
- Support for mixed language expressions (for example Hinglish)
7. Closing Note and Next Steps
NyayaSetu is conceived as a bridge between everyday people and the complexity of law. By combining AI, structured legal logic, and modern digital infrastructure, it aims to automate large parts of the legal journey from doubt to action.
- Build an MVP focusing on one or two high-impact workflows, for example rent agreements and consumer complaints.
- Continuously refine the legal datasets and rule engine with expert input.
- Test with real users for clarity, trust, and accuracy before scaling.
