Your AI Systems Are Already Regulated.
The Question Is Whether You Know It.
India has no standalone AI law, yet DPDPA 2023, the IT Act 2000, SEBI circulars and the Competition Act already bind every enterprise deploying AI here.
Why AI Advisory Matters Now
Maximum penalty under DPDPA 2023 for data protection violations involving AI systems
Of Indian enterprises use AI without a formal governance framework (Nasscom 2025)
EU AI Act enforcement begins. Indian companies serving EU markets must comply
Indian regulatory bodies already issuing AI specific guidance (SEBI, RBI, CDSCO, CCI, IRDAI)
Full Spectrum AI Legal Advisory
From pre deployment governance design to post incident response, we cover every legal dimension of enterprise AI.
AI Governance Frameworks
Design and implement enterprise AI governance structures that satisfy Indian regulatory expectations before they become mandatory. Board reporting protocols, AI risk registers, and accountability matrices tailored to your AI portfolio.
DPDPA Compliance for AI
Every AI system processing personal data of Indian citizens triggers DPDPA obligations. We map consent architectures, automated decision making disclosures, and cross border transfer mechanisms specific to your AI infrastructure.
AI Vendor and Procurement Contracts
Standard vendor contracts were not written for AI. Model ownership, training data rights, output IP, liability for hallucinations, algorithmic bias indemnities, and performance warranties need bespoke drafting.
Algorithmic Accountability
When your AI system denies a loan, rejects a candidate, or flags a transaction, someone must answer why. We build the legal architecture that makes that answer defensible under Indian and global standards.
EU AI Act and Cross Border Compliance
Indian companies deploying AI in the EU face the world’s strictest AI regulation. We advise on risk classification, conformity assessments, and the technical documentation the EU AI Act demands.
Responsible AI and Ethics Advisory
Responsible AI is no longer a press release. Investors, customers, and regulators expect demonstrable commitment. We translate ethical principles into enforceable policies and measurable governance.
Six AI Risks Every Indian Enterprise Carries Today
These are not hypothetical scenarios. Each risk has an existing Indian law that applies right now.
AI Training on Customer Data
Using customer data to train models without explicit AI training consent is a DPDPA violation waiting to happen. Original consent rarely covers new AI purposes.
Vendor AI Processing Offshore
Every API call to a US or EU based AI service is a cross border transfer of personal data. Most enterprises have no transfer mechanism in place.
Automated Decision Making
Loan approvals, insurance underwriting, HR screening. Any AI decision materially affecting an individual creates enhanced disclosure and grievance obligations.
AI Generated Content Liability
AI generated content that infringes copyright, defames, or misleads creates liability for the deployer. The AI vendor’s terms almost never cover this.
Algorithmic Price Coordination
AI pricing algorithms that produce coordinated outcomes with competitors can trigger Competition Act scrutiny even without explicit agreement.
Children’s Data in AI Systems
Any AI platform with users under 18 faces mandatory parental consent, profiling prohibition, and heightened data protection obligations.
The TCL Framework Applied to AI
Our proprietary Technical, Commercial, Legal framework evaluates every AI deployment across three critical dimensions.
Technical
- AI system inventory and data flow mapping
- Model architecture risk assessment
- Training data provenance and licensing audit
- Infrastructure security and access controls
- Bias detection and fairness testing protocols
Commercial
- AI vendor contract negotiation and review
- Model ownership and IP allocation
- Performance warranties and SLA frameworks
- Insurance and liability distribution
- AI procurement due diligence checklists
Legal
- DPDPA compliance architecture for AI
- EU AI Act conformity assessment
- Algorithmic accountability documentation
- Board governance and reporting frameworks
- Regulatory change monitoring and adaptation
AI Advisory Across Industries
AI regulation is not uniform. Each sector has its own regulatory body, its own rules, and its own enforcement priorities.
Financial Services
Algorithmic trading compliance, AI driven credit scoring, robo advisory regulations, SEBI and RBI AI guidelines
Healthcare and Pharma
AI as medical device regulation, clinical decision support liability, health data AI training, CDSCO compliance
Technology and SaaS
AI product liability, training data licensing, open source AI compliance, platform intermediary obligations
Manufacturing
Industrial AI safety standards, predictive maintenance liability, quality control AI, supply chain AI governance
Retail and E Commerce
Recommendation engine transparency, dynamic pricing compliance, AI driven customer profiling, consumer protection
Education and EdTech
Student data AI processing, adaptive learning platform compliance, children’s data protection, proctoring AI ethics
AI Advisory FAQs
Does India have a dedicated AI law?
India does not yet have a standalone AI legislation. However, DPDPA 2023, IT Act 2000, SEBI circulars, Competition Act 2002, IRDAI guidelines, and sector specific regulations already govern AI systems. The proposed Digital India Act is expected to introduce AI specific provisions. Enterprises cannot wait for a standalone law because existing regulations already create obligations.
What are DPDPA obligations for AI systems?
Every AI system processing personal data of Indian citizens is a Data Fiduciary under DPDPA 2023. This includes obtaining specific consent for AI training (original consent does not automatically extend), enabling data principal rights for automated decisions, conducting Data Protection Impact Assessments for high risk AI, and establishing cross border transfer mechanisms for offshore AI processing.
Do Indian companies need to comply with the EU AI Act?
Yes, if they deploy AI systems in the EU market or provide AI outputs used by EU entities. The EU AI Act applies extraterritorially. Indian companies must perform risk classification, conformity assessments, maintain technical documentation, and register high risk AI systems in the EU database. Non compliance risks include fines up to EUR 35 million or 7% of global turnover.
What should an AI vendor contract include?
Standard software contracts are insufficient for AI. Key provisions include model ownership and IP allocation, training data licensing and provenance warranties, output IP rights, liability for AI hallucinations and bias, performance benchmarks with measurable accuracy thresholds, data processing terms compliant with DPDPA, audit rights for algorithmic accountability, and termination provisions addressing model portability.
How does the TCL Framework apply to AI?
The TCL Framework evaluates AI deployments across three dimensions: Technical (model architecture, data flows, security controls, bias testing), Commercial (vendor contracts, IP allocation, insurance, procurement), and Legal (DPDPA compliance, sector regulations, algorithmic accountability, governance reporting). This ensures no dimension is addressed in isolation.
Your AI deployment deserves legal architecture, not afterthought.
Talk to our AI Advisory practice. We will map your AI risk exposure, identify regulatory obligations, and build a governance framework that protects the business before the regulator asks.