A Legal Digital Knowledge Commons Built for Indian Citizens - The Justice Definitions Project

The Indian legal system creates high barriers to entry for the average citizen. As individuals increasingly turn to the internet (search engines and LLMs) for legal guidance, they encounter a highly fragmented digital ecosystem filled with complex, inaccurate, unverified, outdated, or commercialised information, available primarily in English.

The Solution & Real-World Impact

To solve this problem, we need to help people feel confident and clear when learning about the law. We need to create a system that distils complex legal rules into simple, understandable information.

Consider a typical citizen’s journey:

Given that a user needs to understand a specific legal procedure or term (e.g., filing an FIR or understanding bail) when they look up information online across different jurisdictions and local contexts, they should receive credible, peer-reviewed, and contextualised information in their own native language.

This is exactly what the Justice Definitions Project addresses. Convened by DAKSH under Judicial Data Collaborative (JDC) and launched in August 2023, this volunteer-driven initiative hosts The Justice Definitions Wiki, a digital legal knowledge commons. It serves as a free, multilingual digital encyclopaedia that provides contextualised legal information—including procedural explanations, jurisdictional nuances, experiential accounts, and international comparisons.

As of May 2026, the project has scaled to prove its viability:

• 600 legal terms comprehensively mapped.

• Curated by a growing legal community of over 600 contributors (practitioners, academics, and students) across India.

• Accessed by over 8 lakh readers, generating more than 1 million views.

The Session Demonstration & Core Framework

In this session, the project team will demonstrate the internal mechanics, community orchestration, and content engine powering the Justice Definitions Project. We will highlight how we manage a mass-scale, volunteer-driven content curation and review pipeline while working towards maintaining factual accuracy.

We will also share our open-source system for running a community-led knowledge commons, detailing how we scale localised content across multiple Indian languages and maintain data integrity in an era of AI-generated misinformation.

Enhancing Quality and Scaling

The Justice Definitions Wiki builds trust and can grow quickly because it follows strong digital commons principles:

• Decentralised Peer-Review: Content is crowdsourced but rigorously verified via a multi-tiered review system involving students, academics, and practitioners.

• Multilingual Expansion: Breaking the English barrier by translating complex legal terms into local Indian languages while keeping the meaning accurate.

• Accessibility & Open Access: Keeping the platform free, without ads or commercial interests, and ensuring it is publicly available and easy to use.

Attendees will walk away with actionable insights on building and managing knowledge commons. The key takeaways include:

• The Power of Crowdsourcing: How we bring together and support a community of over 600 legal volunteers.

• Contextualised Taxonomy: Going beyond basic definitions to include details about procedures and real-life experiences.

• Combating LLM Hallucinations: Providing a trustworthy, human-checked database that people can rely on instead of unverified AI answers.

• Scaling a Digital Commons: Sharing practical lessons about managing data, maintaining the platform, and supporting the community as part of the project.