Nyaya Sahayak

Legal problems do not begin as legal cases. They begin as stories. A consumer knows they were cheated, a family knows a document has created a problem, or a person knows a complaint has gone unanswered. But knowing what happened is very different from knowing what to do next. Legal information is often difficult to navigate, evidence is scattered across documents and messages, and people may approach a lawyer without knowing how to clearly present their matter. This creates friction for citizens and significant intake and information-gathering work for lawyers.

Nyaya Sahayak bridges that gap.

For citizens, it brings legal awareness and action into one place. Its plain-language guidebooks help people understand their rights, assess whether a legal route may apply to their situation, identify what they need, and understand the steps ahead. When they are ready to act, the AI-assisted preparation workflow turns their own account of what happened into a structured matter, organising facts, parties, chronology, evidence and missing information, and assisting with the relevant document and next steps.

The citizen remains in control. They can use the prepared matter to pursue the relevant official process themselves, or explicitly share it with a lawyer they choose.

For lawyers, Nyaya Sahayak addresses a different but connected problem: the time and effort required to turn fragmented client communication into a workable matter. Instead of receiving a collection of WhatsApp messages, screenshots, documents and incomplete facts, a lawyer can receive a structured matter with a clear chronology, organised evidence, identified gaps and a prepared draft that can be reviewed and acted upon.

This creates a continuous path from legal awareness to preparation to action, while keeping legal judgment where it belongs. AI helps organise and prepare information; it does not replace the citizen's agency or the lawyer's professional judgment.

Nyaya Sahayak is built around a simple idea: when a person's legal problem is organised well, they can understand it better, act on it with greater confidence, and give a lawyer something far more useful to work with.

Private-by-default matter ownership Citizens own their matters. Nothing is shared with a lawyer unless they explicitly choose to share it or accept an invitation from a lawyer they already work with.

Provenance on every fact Information is clearly identified as user-provided, document-derived, AI-suggested or needing confirmation, so AI-generated information is never presented as established fact.

AI-assisted matter preparation A two-stage Gemini workflow turns a citizen's story into a structured matter before assisting with document drafting, with structured output validation and safeguards against invented facts.

Missing-information detection Targeted follow-up questions identify gaps in facts, evidence and documentation before the matter is prepared.

Chronology and evidence workspace Build a source-linked timeline, organise supporting documents and images, and connect evidence to relevant events.

Matter readiness A completeness indicator shows how prepared a matter is without claiming to assess legal merit or predict its outcome.

Grounded document preparation Generate complaint and legal documents from the prepared matter while keeping unsupported facts out of the draft.

Citizen self-service Citizens can use their prepared matter to continue independently through the relevant official process.

Lawyer collaboration Citizens can explicitly share their matter with a lawyer, who can review the structured record, request missing information and collaborate from the same matter.

Legal awareness Plain-language, cited guidebooks covering Consumer Protection, Cybercrime and RTI help users understand their rights, options and next steps.

Multilingual and voice input The preparation experience supports English, Hindi, Gujarati, Marathi, Bengali and Tamil, with voice input.

PDF matter export You can export the prepared matter for use outside the platform.

Demo Mode A deterministic fallback keeps the core workflow usable even when live AI is unavailable.

feedback and funding