ILTN Jindal Global: India Legal AI Product Assessment Standard Set

• ILTN and Jindal Global University's Ideate Lab hosted a roundtable on August 20, 2026, to draft a standard for evaluating legal AI tools in India.
• The session brought together legal AI buyers and builders, including law firm partners, in-house counsel, and AI governance specialists.
• This initiative follows a November 2025 roundtable that identified six key barriers to legal tech adoption in India.
• Identified obstacles include legal tech being a discretionary cost, fragmented case law, and a lack of shared metrics for AI tool performance.
• The proposed standard aims to provide clear evaluation criteria and address challenges like unproven ROI and vendor recognition for governance.

Such a framework is crucial for overcoming the identified adoption barriers by providing clear benchmarks for tool performance, fostering trust, and enabling more informed procurement decisions.

The Indian LegalTech Network (ILTN) and Jindal Global University's Ideate Lab recently convened the second LegalTech Strategic Roundtable on August 20, 2026. Held at the Chelmsford Club in New Delhi, this invite-only gathering brought together a unique combination of professionals who both acquire and develop legal artificial intelligence solutions.

Attendees included a diverse group of stakeholders such as law firm partners, legal technology heads, in-house counsel, enterprise Chief Information Officers (CIOs) and Chief Data Officers (CDOs), as well as founders and specialists in AI governance and legal data infrastructure. The primary objective of this strategic session was to collaboratively establish a practical and equitable standard for the evaluation of legal AI tools within the Indian legal landscape.

This recent initiative builds upon discussions from a preceding roundtable, which took place on November 27, 2025, also organized by Ideate Lab and ILTN. That initial session posed a critical question: why is the adoption of legal technology in India relatively limited, especially considering the significant opportunities available in the market?

Participants in the first roundtable identified six key obstacles hindering widespread legal tech integration. These included the prevailing view of legal technology as a discretionary expenditure rather than an essential investment. Furthermore, international tools were often designed for more standardized jurisdictions, while domestic solutions, though customized, frequently lost scalability due to their bespoke nature. Another significant challenge was the underutilization of purchased tools, attributed to a scarcity of essential prompting skills among users.

Additional barriers highlighted were the absence of shared metrics for assessing crucial aspects like accuracy, hallucination rates, or workflow compatibility, which made it difficult to demonstrate a clear return on investment. The legal sector also contended with fragmented case law databases and a lack of a standardized legal taxonomy. Finally, there was no established mechanism to recognize or incentivize vendors who voluntarily adopted robust governance frameworks for their AI offerings.

In response to the identified challenges, the initial discussions proposed several strategic interventions that underpin the current standard-setting efforts. These included the conceptualization of a state-specific Legal Enablement Toolkit, envisioned as a collaborative public-private partnership, and the development of a Universal Case Law Interface (UCLI), intended to serve as a single, authoritative repository for case law across the nation.

Establishing a comprehensive legal AI product assessment standard is crucial for overcoming the previously identified barriers to adoption. Such a framework is crucial for overcoming the identified adoption barriers by providing clear benchmarks for tool performance, fostering trust, and enabling more informed procurement decisions. It directly addresses the need for shared metrics and a structured approach to recognizing responsible vendors, thereby promoting a more effective, ethical, and widespread integration of artificial intelligence within India's legal sector.

Lawyers and compliance officers in India should closely monitor the development of this proposed legal AI product assessment standard. Its final form will significantly influence procurement decisions, risk management frameworks, and the responsible adoption of AI tools within legal practices and corporate compliance departments, potentially setting benchmarks for due diligence and vendor selection.

Source: Original reporting via ILTN and Jindal Global University