The ETLegalWorld AI-Powered Legal Transformation Summit 2026, held on August 7, brought together general counsel, in-house legal leaders, legal operations heads and technology innovators, in Bengaluru, for a full-day exploration of how artificial intelligence is reshaping the legal function. Structured across keynote address, expert remarks, chairperson address, followed by eight expert-led panels, the summit examined AI’s growing role in contract management, compliance, governance and enterprise risk, while addressing the ethical and accountability questions that come with scaled deployment.
Delivering the keynote address on “The Rule of Law in the Age of Artificial Intelligence: Balancing Innovation, Justice and Accountability,” Justice Dinesh Kumar Singh, Judge, High Court of Karnataka, said AI is transforming not only businesses and everyday life but also the functioning of the legal ecosystem. The challenge for the judiciary, he noted, is not to choose between tradition and technology, but to ensure that technological advancement remains aligned with the principles of justice.
Delivering the expert remarks, Dr Amar Patnaik, former member of parliament, Rajya Sabha, said the credibility of enterprise AI will ultimately rest on accountability rather than capability. He warned that AI systems processing information across multiple models can erode audit trails and explainability, making it harder for organisations to demonstrate why a decision was made when scrutinised by regulators or courts. “Compliance is the floor. Legitimacy is the business case,” he said, adding that boards and senior leadership will increasingly need AI literacy as responsibility for technology-related failures moves up the corporate ladder.
Zameer Nathani, group general counsel at DNEG, while delivering the chairperson address, outlined three major shifts over the next two to five years: accelerating adoption of AI, evolving regulatory and governance requirements, and a fundamental redefinition of the value lawyers bring to businesses. Rather than looking at AI only through the lens of technology, Nathani urged legal leaders to consider how adoption patterns will affect operations, governance responsibilities and individual career progression.
The first panel, “Building the AI-First Legal Department: Strategy, Roadmap & ROI,” featured Dilip Manepalli (Vodafone), Namrata Arora (Blupine Energy), Karthik Kannappan S. (Indegene), Subhadip Sarkar (Cognizant), Mukesh Kumar (Hitachi Ltd.) and Sahana Chandrika (Syngene International), moderated by Khushboo Singh of Legora. Speakers agreed that becoming AI-first is an operating-model shift rather than a technology rollout, with Manepalli describing a “use-case factory” approach to prioritising legal automation and Chandrika stressing that privacy and ethics must be built into AI systems by design, particularly in regulated sectors.
In “Responsible AI Governance: Ethics, Bias, Compliance and the Global Regulatory Landscape,” Saurabh Awasthi (Kyndryl Solutions), Jaswinder Singh Shekhawat (MediBuddy), Sudha Hooda (NVIDIA) and Deepalakshmi Vadivelan (Quess Corp) debated the right structure for AI oversight, with panellists divided on whether enterprises need dedicated AI governance committees. The session, moderated by Jyoti Pawar, converged on the need for human oversight that is substantive rather than symbolic, particularly in consequential decisions such as hiring and healthcare.
The panel “The Legal Operating System for Large Businesses: Where AI, Compliance and Governance Meet,” moderated by Indranil Choudhury of Lexplosion and featuring Alok Lall (Ex-Microsoft), Dr Bhaskar Ghosh, Sambit Das (Porter) and Kishore Shetty (GE HealthCare), argued that legal risk typically originates in business events rather than inside the legal department itself, and that AI-enabled systems should surface obligations early rather than simply respond to violations after they occur.
The panel “Beyond Experimentation: What Will AI Adoption in Legal Look Like by 2027?” moderated by Shailesh Kumar of SpotDraft, featured Suresh Kalarikkal (Thoughtworks), Kavitha Gupta (SAP), Damandeep Kaur (Teleperformance) and Panduranga Acharya (Zepto Limited), opined that governance processes will need to move faster as AI deployments multiply, while maintaining the human ownership required to keep enterprises accountable.
The panel “Managing AI Regulatory Complexity: AI-Enabled Compliance,” moderated by Kirti Mahapatra of Shardul Amarchand Mangaldas & Co., brought together Lakshmi Menon (Hewlett Packard Enterprise), Jagannath PV (LTIMindtree), Jay Maroli (GE Vernova Research), Dinesh Vijayakumar (IBM India) and Nitesh Bakshi (Novo Nordisk India). The session highlighted emerging concerns around AI sovereignty and the need for continuous, rather than point-in-time, compliance monitoring.
Contract lifecycle management was examined in “AI-Driven Contract Lifecycle Management & Legal Operations Transformation,” with Leena Tibrewal (my-Contracts), Saloni Agara Dwarakanath (Apex India), Anupriya Garg (Kennametal), Tarang Kulkarni (Target) and Shujath Bin Ali (Fourth Partner Energy), moderated by Dr Sapna S. Panellists cautioned against granting AI full autonomy in high-stakes contract negotiations, and discussed how CLM platforms are evolving from repositories into tools for post-execution risk intelligence.
In “The Growth of Legal Tech: From Support Tool to Strategic Business Driver,” moderated by Nimit Kumar of Bharat.Law, Srijit Mukherjee (Kocho), Jyothi V K (Aditya Birla Fashion) and Kunal Rajpal argued that legal technology’s value should be measured by business outcomes such as deal velocity and risk reduction, rather than efficiency gains within the legal department alone.
The theme of cross-functional collaboration ran through “Breaking Silos: Building the Future of E-Governance Through Cross-Functional Collaboration,” featuring Udaya Ragavan (Wipro Kawasaki Precision Manufacturing), Devraj Sanyal (Reserve Bank Innovation Hub), Shreekanth Katti (Merck India), Aparna Rawat (LT Finance), moderated by Graeme Grovum of Legora. Speakers agreed that digitising a process does not by itself remove organisational silos, and that shared data architecture and clear ownership are essential to effective e-governance.
Across all the sessions of the ETLegalWorld AI-Powered Legal Transformation Summit 2026, all the speakers agreed that as legal departments move beyond pilots toward enterprise-scale AI adoption, the defining challenge is not what the technology can do, but ensuring that accountability, explainability and human judgment remain central to how it is deployed.
