About Us

Addressing the issues of pending cases, current backlogs and social injustices, with the help of AI

Adalat AI was incubated at MIT and Oxford, based on research conducted at Harvard.

We specialise in AI and LLM-driven solutions that address the pressing issues of case backlogs, prolonged delays in legal systems, and the ensuing social injustices caused by these delays. In collaboration with courts, we’re pioneering voice transcription software specifically designed to assist court judges and stenographers.

This tool, unlike generic, costly alternatives, is finely tuned to a comprehensive lexicon of legal jargon and Indian pronunciations, ensuring accuracy and relevancy in transcribing witness testimonies, court orders, and judgments.

The numbers behind the wait

cases pending in courts

M+

needed to clear current backlog

50 yrs+

average case age at the Supreme Court

0 yrs

Meet The Team

Utkarsh Saxena

Co-founder and Chief Executive Officer

Utkarsh Saxena is the founder and CEO of Adalat AI. In 2012, he clerked for a Justice of the Supreme Court of India and has a decade of legal practice across various courts in India.

He collaborated with the Ministry of Law and Justice in 2013 and the Ministry of Finance in 2017 to address court delays. Recognising the systemic challenges, Utkarsh pivoted to building technological innovations for justice systems in India and the global south. He holds a BA/LLB from the University of Delhi, an LLM from Harvard Law School as an Inlaks scholar, and an MPA/ID from Harvard Kennedy School as a John M Olin fellow.

His award-winning Kennedy School thesis laid the groundwork for his PhD at Oxford, research visit at MIT, and establishment of Adalat AI. Additionally, Utkarsh has experience with the Boston Consulting Group and the World Bank.

Arghya Bhattacharya

Co-founder and Chief Technology Officer

Arghya Bhattacharya possesses a proven track record in machine learning and natural language processing (NLP), underscored by his academic credentials: a Bachelor’s degree in Computer Science and a Master’s in AI/ML from IIIT Hyderabad, a premier institution for Computer Science and AI research in India.

Arghya’s contributions to the field are notable, with publications in leading AI conferences such as ACL, CoNLL, and EaMT. As the first founding engineer at Enterpret, Arghya played a pivotal role in the development of AI models, leading the team and shaping innovative products. This role demonstrated his adeptness at translating complex AI technologies into actionable, practical solutions. His tenure at Equal further expanded his expertise, where he spearheaded the management of AI-driven identity verification products, thereby gaining invaluable experience in managing data-sensitive systems.

Additionally, his early career stint at Sentisum saw him building ML systems from the ground up, laying the foundation for his extensive skill set in the AI domain.

Ananya Kotia

Chief Impact Officer

Ananya Kotia is an economist, currently completing a PhD in economics at the London School of Economics.

He holds a BA (Hons.) economics from Delhi University, an M.A. in economics from the University of Cambridge as an Inlaks scholar, and an M.Phil. in economics from the University of Oxford.

Kotia has previously worked as a consultant with the Chief Economic Advisor’s office at the Ministry of Finance (Government of India), the National Institute of Public Finance and Policy, the World Bank, and the IMF.