{
  "id": 637913,
  "title": "Aditya Gupta: Building intelligence into contracts at scale",
  "url": "https://urgent.news/2026/08/12/aditya-gupta-building-intelligence-into-contracts-at-scale",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-12T05:47:13.000Z",
  "source": {
    "name": "YourStory",
    "slug": "yourstory",
    "url": "https://yourstory.com/2026/08/aditya-gupta-building-intelligence-into-contracts-at-scale"
  },
  "original_language": "en",
  "account": "Contracts play a vital role in enterprise relationships, dictating obligations and influencing business outcomes. However, traditional contracts have remained static and difficult to navigate. Aditya Gupta aims to change this paradigm. As the Co-founder and Chief Technology Officer of Sirion, Gupta is spearheading a transformation of contracts into intelligent systems powered by AI. His journey to this point began far from enterprise software, driven by a curiosity about the underlying workings of systems. Starting with early programming experiences, Gupta's interest evolved from writing code to designing scalable systems that could serve vast numbers of users. This progression led him to enterprise software and ultimately to artificial intelligence, where systems transcend deterministic logic to support reasoning and decision-making.\n\nDuring his time at the Indian Institute of Technology (IIT) Kharagpur, Gupta was immersed in an environment that fostered first-principles thinking, problem-solving, and peer learning. One notable challenge involved designing autonomous robot systems for Mars exploration, which demanded innovative approaches to communication, system failures, and collaborative behavior among machines. By breaking down complex problems into smaller parts, Gupta and his team were able to navigate the complexity and develop functional solutions. These early experiences have shaped Gupta's approach to modern enterprise challenges.\n\nIn 2012, Gupta co-founded Sirion with Ajay Agrawal and Claude Marais, focusing on AI-powered contract lifecycle management (CLM) software. At the time, contracts were often treated as rigid, static documents, leading to difficulties in locating agreements, interpreting obligations, and assessing the compatibility of new contracts with existing terms. Sirion sought to reframe contracts as living systems that could be continuously understood, tracked, and acted upon. By breaking contracts into smaller, actionable components, the company aimed to monitor, track, and report obligations in real-time, ensuring decisions were informed by historical context.\n\nGupta's role at Sirion involves a blend of architecture, product, and AI strategy. Recognizing the need for more than just AI as a superficial layer, he chose to embed AI deeply into the core system, addressing tasks such as clause extraction, risk analysis, and obligation tracking. AI is integrated into every stage of the contract lifecycle, transforming contracts from mere documents into dynamic systems of intelligence. These systems not only store information but also actively inform decisions, govern relationships, and drive outcomes.\n\nDeploying AI in the legal domain presents unique challenges, particularly in terms of precision and explainability. Sirion has addressed these challenges by building a legal knowledge graph and ontology to ensure that AI outputs are grounded in domain-specific understanding. Every recommendation is paired with clear references, promoting transparency. Sirion's systems are designed for scalability and fault tolerance to manage enterprise-scale workloads effectively. While acknowledging that AI is not yet flawless, Gupta emphasizes that the closer the accuracy gets to the high 90s, the greater the user confidence. Every decision remains probabilistic, but the system's role is to enhance trust and reliability.",
  "summary": "From early experiments in autonomous systems to embedding AI at the core of enterprise workflows, the Sirion CTO is reimagining how contracts are understood, managed, and acted upon.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}