AI & Machine Learning
The legal landscape for artificial intelligence is forming in real time. The regulatory frameworks are incomplete, the case law is thin, and the commercial structures are still being invented. That creates both risk and opportunity.
We advise companies building, deploying, and integrating AI systems on the emerging regulatory, contractual, and liability frameworks that govern this space. We understand the technical architecture of ML systems — training data pipelines, model development, inference deployment — and translate that understanding into legally sound structures. Our work covers the full AI value chain: from training data rights and model ownership to deployment liability, algorithmic transparency obligations, and the evolving global regulatory patchwork.
What We Do
- AI governance framework design and internal policy development
- Training data licensing, rights clearance, and provenance documentation
- Model ownership, IP assignment, and joint development agreements
- AI-as-a-service terms and deployment agreements
- Algorithmic transparency and explainability compliance
- AI liability and indemnification structuring
- Regulatory monitoring for AI-specific regulations (India and cross-border)
- Responsible AI policy drafting and ethical review frameworks
Regulatory Context
AI regulation in India is evolving rapidly, shaped by the proposed Digital India Act (AI provisions), the IT Act 2000 (intermediary and automated decision-making provisions), and India AI mission guidelines. For companies with European exposure, the EU AI Act introduces risk-based compliance obligations with significant extraterritorial reach. Sector-specific AI guidance from regulators including RBI, SEBI, and IRDAI adds further complexity. The regulatory picture is fragmented and moving — we help clients build governance frameworks robust enough to adapt as the rules crystallise.
Who This Is For
AI/ML startups building foundation models or vertical applications. Enterprises deploying AI systems in customer-facing or decision-making roles. AI-as-a-service providers structuring commercial terms around model access. Companies integrating third-party AI into existing products. If you are building or deploying AI and need legal structures around it, this practice covers it.