About Company
Roles and Responsibility
Eligibility
How to Apply

KanoonGPT is pioneering India's premier AI-driven Legal Operating System, designed to democratize access to legal knowledge by making it searchable and intuitive in multiple regional languages. Their platform tackles barriers in legal research and practice, empowering students, lawyers, and citizens with tools that simplify complex statutes and case laws. As a forward-thinking startup, they blend AI innovation with practical legal needs to foster efficiency and inclusivity in the justice system.

  • Curate and organize vast legal datasets for the upcoming electronic Supreme Court Reports (eSCR) library to enhance searchability.
  • Structure raw legal documents, judgments, and statutes into user-friendly formats for AI integration.
  • Test and refine AI algorithms for legal research tools, ensuring accuracy in multilingual outputs.
  • Collaborate with developers to identify gaps in data coverage and suggest improvements for product features.
  • Document processes and contribute insights from a legal perspective to optimize tool performance.
  • Analyze user queries to refine data tagging, focusing on key areas like corporate, IPR, and dispute resolution.
  • Enrolled in or recently graduated from an LLB program with a focus on legal research.
  • Basic understanding of AI applications in law or data handling (training provided).
  • Strong organizational skills and attention to detail for managing large document sets.
  • Proficiency in English; knowledge of Hindi or other Indian languages is advantageous.
  • Eagerness to learn and contribute authentically, no prior tech experience needed.
  • Access the Google Form link and complete all sections manually (AI-generated responses will be disqualified).
  • Provide honest, thoughtful answers to questions on your legal background and interest in AI-law fusion.
  • Attach your resume and any sample legal research work (optional but recommended).
  • Submit and await confirmation email; shortlisted candidates will undergo a quick data-sorting task.