Saakshar Duggal
When an AI system causes harm, most organisations cannot say who is accountable for it. Agentic AI sharpens the problem, because software now takes actions no one explicitly authorised. The legal and governance structures most companies rely on were built for tools that wait to be told what to do.
Saakshar Duggal helps organisations adopt AI without losing control of the legal and liability questions that adoption creates, drawing on his work as a practising Delhi High Court advocate in AI and cyber law.
Full Profile
Why organisations work with Saakshar Duggal
- He argues AI and cyber matters as a practising advocate at the Delhi High Court, so his guidance on governance reflects how liability is actually contested in practice.
- He helps run the Artificial Intelligence Law Hub and advises Cyberlaw University, which gives him early sight of how AI regulation and agentic-AI liability are taking shape in India.
- He builds AI literacy for teams with no legal background, turning governance obligations into decisions a product or operations lead can make on Monday.
- A prolific TEDx speaker who also coaches other specialists on speaking, he can take a subject as dry as AI liability to a full workforce or a board and hold the room.
Biography highlights
- Practising advocate at the Delhi High Court, specialising in AI and cyber law.
- Chief Marketing Officer of the Artificial Intelligence Law Hub and Adviser, Academic Outreach at Cyberlaw University.
- Member of the Forbes Communications Council.
- Author of “Cybercrimes During Covid-19 & Legal Issues in India”.
- Speaker at the 2025 Global Summit on Artificial Intelligence, Emerging Tech Law and Governance, on the legal questions raised by quantum and AI.
- Has delivered more than 20 TEDx talks on AI law and cyber issues.
Biography
Most organisations are adopting AI faster than anyone inside them can explain what it is legally allowed to do. Marketing runs generative tools, operations automates decisions, and the legal function is brought in after the fact, if at all. The gap between what the technology can do and what the organisation understands about it keeps widening.
This is the terrain Saakshar Duggal works in. He argues AI and cyber matters as a practising advocate at the Delhi High Court, and helps run the Artificial Intelligence Law Hub, one of India’s dedicated centres for AI legal and governance work. His reading of AI liability comes from live cases and forming regulation.
Duggal is also unusually good at being heard. He has delivered more than twenty TEDx talks on AI law, sits on the Forbes Communications Council, and coaches other specialists on how to hold an audience. On a topic that usually reaches people as dense regulation, that is what gets a workforce or a board to engage with it.
His current focus is the hardest part of the field. At the 2025 Global Summit on Artificial Intelligence, Emerging Tech Law and Governance, he took on the legal questions thrown up by quantum and AI together. The sharper commercial version is agentic AI: once software takes actions no one authorised in advance, the question of who is liable stops being theoretical and lands on the company that deployed it.
Key speaking topics
- AI governance for corporates
- Legal liability of agentic AI
- AI literacy for non-technical teams
- Regulation of artificial intelligence
- Cyber law and cybercrime
- Deepfakes and AI-enabled fraud
- Data protection and digital responsibility
Ideal for
- General counsel and legal teams setting AI usage and liability policy
- Chief AI officers, CTOs, and transformation leads deploying AI or agentic systems
- Boards and risk committees weighing AI governance and exposure
- Whole-workforce sessions building AI and cyber literacy across non-technical staff
Audience outcomes
- A clear view of where legal liability actually sits when an AI or agentic system causes harm
- Governance steps a non-legal team can apply to real AI deployment decisions
- The vocabulary to question vendors and internal teams about AI risk with confidence
- A working knowledge of common AI-enabled fraud and deepfake tactics, and the exposure they create for the business
Talks
A practical account of the governance a company needs in place before, not after, it scales AI across the business.
Key takeaways:
- Where legal responsibility falls when an AI system makes a decision that goes wrong
- The governance checkpoints that let adoption proceed without building on shaky ground
- How to set internal AI usage rules that teams will actually follow
What changes, legally and commercially, once software stops waiting for instructions and starts acting on its own.
Key takeaways:
- Why agentic AI breaks the assumptions most liability and contracting frameworks were built on
- The specific exposure a company takes on when it deploys autonomous agents
- Questions a board should ask before signing off on agentic deployment
How deepfakes, cloned voices, and AI-generated deception are being used against organisations and their people.
Key takeaways:
- The current tactics behind AI-enabled phishing and impersonation fraud
- Where these attacks exploit human trust rather than technical gaps
- Practical habits that reduce an organisation’s exposure