Changes at "Tark.AI: An AI-Guided Reasoning Platform for Legal Education: A Large Learning Model"

Tark.AI

Krisha Mankarmi, Heysha Zaveri, Amogh Atwe, O.P. Jindal Global University

Training / education / pedagogy

Tark.AI is a multilingual, reasoning-first AI platform for legal and higher education that addresses a growing failure in AI-assisted learning: students are increasingly producing answers without developing the reasoning those answers require. By replacing one-click answer generation with structured Socratic guidance, Tark.AI helps learners identify issues, classify facts, justify conclusions, and build independent analytical capacity. Its use case is especially strong in the Indian context, where generative AI not only bypasses critical thinking but also reproduces language inequality and leaves institutions with no way to observe what students are actually learning. Tark.AI gives students a way to think with AI rather than be replaced by it, and gives institutions a more accountable model for integrating AI into education.

Tark.AI matters because it addresses a core gap in AI-assisted education: institutions can measure submissions, plagiarism, and satisfaction, but they still cannot tell whether students are actually building independent reasoning or simply outsourcing it to AI. In the Indian context, that gap is even more urgent. NEP 2020 calls for higher-order cognitive skills, critical thinking, assessment reform, multilingual inclusion, and equitable access, yet most generative AI tools do the opposite: they collapse the reasoning process into instant outputs, privilege English-dominant and Western cognitive frames, ignore different learning pathways, and make it harder for educators to observe real analytical growth. Tark.AI responds with a reasoning-first, Socratic, multilingual learning model that is pedagogically aligned, cognitively protective, and institutionally accountable. It helps students build transferable thinking skills, helps educators preserve the reasoning process, and helps institutions adopt AI in a way that is actually consistent with the goals of modern education.

Our team is motivated by a growing contradiction at the heart of education today: while generative AI has become fast, accessible, and deeply embedded in how students learn, there is still no meaningful framework for understanding whether it is strengthening reasoning or quietly replacing it. Through Tark.AI, we want to explore the transition from large language models to large learning models—from systems that simply generate fluent answers to systems that actively cultivate critical thinking, judgment, and independent analysis. We are especially interested in building this in a way that is aligned with NEP 2020, grounded in learning science, and responsive to India’s need for multilingual, equitable access. Our objective is to test whether Socratic questioning, structured reasoning, and adaptive learning pathways can make AI pedagogically accountable rather than cognitively substitutive. In doing so, we hope to create not just a tool for legal education, but a broader framework for how AI can support deeper learning without displacing the learner.

https://drive.google.com/drive/folders/1DvSqvOFvkPi6xipoRUI7LPq0PJhumB07