AI governance is a legal mandate, not a technology project. Every automated decision, every AI vendor contract, every training dataset is a legal event under DPDPA, the EU AI Act, and India's sectoral regulators.
AMLEGALS AI is India's only full-spectrum AI governance practice built by practising lawyers with 27 years of Indian regulatory experience — for India's courts, India's boards, and every global jurisdiction your business operates in.
Every governance recommendation is anchored in statute, not strategy slides.
We build systems that survive regulatory scrutiny, not just internal audits.
DPDPA, EU AI Act, and G7 principles — read together, applied together.
Nine original frameworks that no consulting firm or law firm has built.
"AI governance without legal counsel is a compliance costume. It looks right until the regulator arrives."
— Anandaday Misshra · Founder & Managing Partner, AMLEGALSNine advisory dimensions. Legally enforceable outputs. India-first architecture, globally deployable. Every deliverable is a legal document — not a strategy slide.
Board-approved AI Governance Policy. AI Committee charter and reporting lines. Data Fiduciary obligations mapped for every AI system under DPDPA. Model lifecycle protocols. Gap analysis against OECD AI Principles.
DPDPA-specific AI guidance built from inside the statute — not translated from foreign frameworks. Consent mapping for AI training data. Purpose limitation analysis. Data principal rights in automated decisions. SDF AI obligations.
The world's first AI surface area scoring methodology for contracts. 94 clause risk signals across 17 exposure categories. Every AI vendor agreement scored, every gap remediated, every indemnity negotiated on data, model IP, hallucination, and bias liability.
AI Ethics Policy, RAI Committee constitution, G7 Hiroshima Principles implementation, and algorithmic bias review — all anchored in Indian statute and enforceable in India's courts. Not aspirational. Actionable.
AMLEGALS AI has built and deployed its own AI platforms. We write agentic AI legal frameworks from practitioner experience — not from reading about the technology. Every legal position we take on autonomous AI systems is tested against our own deployed infrastructure.
Director liability analysis for AI-related decisions. AI risk disclosures for annual reports (SEBI). Board AI governance KPIs. Litigation-ready documentation from board approval to enforcement inquiry.
DPDPA + EU AI Act dual compliance roadmap. MAS Singapore AI governance. UK AI regulatory framework post-Brexit. US Executive Order implications for Indian IT. One architecture that satisfies every market.
AASAI™. Digital Atman Theory. PRAMAANA™. Vibe Data Privacy™. Privacy Dividend™. Consent Capital™. These are not borrowed methodologies. They are original AMLEGALS jurisprudential architecture — applied in every mandate.
AI-related disputes across all India High Courts and arbitration forums. Algorithmic liability — building and defending claims. IP disputes on AI-generated outputs. Employment law and AI discrimination — full Labour Codes intersection practice.
Hover each card to see what we deliver. Every service is grounded in statute, structured like McKinsey, and executed like a law firm that will stand in court for it.
Every framework below was built from 27 years of practitioner experience — in Indian courts, client boardrooms, and live regulatory engagements. Coined, published, and applied by AMLEGALS. Owned by no one else.
The world's first contract-level scoring methodology for AI legal exposure. Every clause that touches an AI system gets a risk score. The aggregate is your AASAI™ — the number your board should know before signing any AI deal.
Personal data is the digital expression of a person's soul — the Atman in Indian philosophy. Any AI system that processes it without governance does not merely violate a statute. It violates a person. This doctrine gives Indian data privacy law its deepest jurisprudential anchor.
PRAMAANA™ is AMLEGALS' original framework for building AI and data governance systems that generate admissible legal evidence. Not paper compliance — forensic-grade documentation architecture built to survive regulatory investigation.
Governance that lives in actual workflows, not policy documents. Vibe Data Privacy™ is the operating principle that AMLEGALS applies to every AI governance mandate — making privacy and compliance a daily operational habit, not an annual audit event.
Privacy investment is not a cost. It is a dividend. The Privacy Dividend™ framework measures what a company gains — in customer trust, regulatory safety, and contractual strength — by investing in AI governance before the regulator arrives. The math always favours early movers.
Consent is not a checkbox. It is a balance sheet entry. Consent Capital™ measures the legal and commercial value of valid, maintained, withdrawable consent across an AI system's data intake pipeline — and the liability exposure of every consent gap. AI that runs on bad consent is running on debt.
नियंत्रण · Sanskrit for Control
Six Pillars of AI Governance Architecture
Most AI governance frameworks are aspirational. They describe what governance should look like. NIYANTRAN™ is an implementation architecture — six operational pillars that move AI governance from board resolution to daily practice across enterprise, product, and workforce levels.
Aligned to ISO 42001, NIST AI RMF, the EU AI Act, and DPDPA — but designed for Indian enterprise realities. Every pillar delivers documents, not intentions.
AI systems that process personal data are Data Fiduciaries. Rules expected 2025. Penalty up to ₹250 Cr per instance for AI-driven data misuse.
India's National AI Strategy and emerging sector-specific AI guidelines from MeitY. AMLEGALS tracks all working group outputs.
SEBI's circulars on algorithmic trading, AI-based risk models, and explainability requirements for BFSI. Board-level disclosure expectations rising.
RBI's model risk management guidelines, explainability mandates for AI credit decisions, and data governance requirements for banks and NBFCs.
IRDA's emerging framework for AI underwriting, claims automation, and algorithmic fairness in insurance products.
India does not yet have a standalone AI Act. But DPDPA, SEBI, RBI, and IRDA guidelines together create a de facto AI governance obligation for any enterprise deploying AI at scale. The absence of a single law does not mean the absence of risk.
World's first comprehensive AI law. Tiered risk approach — prohibited AI, high-risk AI, general purpose AI (GPAI). Penalty up to €35M or 7% global turnover. Applies to any company selling or deploying AI in the EU market.
Mandatory reporting requirements for frontier AI models. Safety testing obligations. Significant implications for Indian IT companies with US contracts. Procurement requirements now filter into vendor contracts.
Principles-based AI regulation through existing sectoral regulators — FCA, ICO, CMA. UK-GDPR AI profiling rules apply to any company processing UK resident data. Post-Brexit divergence from EU AI Act creates dual compliance need.
MAS FEAT Principles — Fairness, Ethics, Accountability, Transparency. Binding for Singapore-licensed financial institutions. Increasingly used as benchmark for Asia-Pacific AI governance across sectors.
11 International Guiding Principles for Advanced AI Systems. Global policy baseline increasingly referenced by Indian regulators and Indian MNCs in their global AI governance policies.
Indian companies operating globally face a compliance patchwork. The AMLEGALS AI multi-jurisdiction mandate gives you one governance architecture that satisfies every market — rather than 17 separate policies for 17 different regulators.
RBI model risk management, SEBI algorithmic trading rules, IRDA underwriting AI. Credit decision explainability. Anti-money laundering AI obligations. Penalty exposure across multiple regulators simultaneously.
AI medical devices — CDSCO classification and approval pathway. Clinical decision support AI. Health data processing under DPDPA. Patient consent for AI diagnostics. Telemedicine AI — liability framework.
Automated hiring decisions, AI performance management, workforce surveillance. India's Four Labour Codes apply to AI-driven HR processes. AMLEGALS has built the only published framework on DPDPA–Labour Codes intersection for AI.
EdTech AI tools processing student data. DPDPA's absolute prohibition on tracking children. Parental consent architecture. AI tutoring systems — data minimisation obligations. Penalty up to ₹200 Cr for Section 9 violation.
AI in public benefit delivery, surveillance, predictive policing. State as Data Fiduciary under DPDPA. RTI implications for algorithmic decisions. Constitutional challenges — AI and Article 21 right to privacy.
These are not hypothetical numbers. These are the Schedule penalties enacted by Parliament. Every quarter without AI governance is a quarter of unpriced legal liability on your balance sheet.
AI governance is not one conversation. It is five. AMLEGALS AI prepares the brief for every seat in the room.
AI in hiring. AI in performance management. AI in attendance surveillance. Every HR automation creates a paper trail the regulator and a terminated employee's lawyer can both read.
One AI bias incident. One leaked training dataset. One algorithmic decision your company cannot explain in a press conference. The reputational cost dwarfs the regulatory penalty.
DPDPA penalties are not per incident category — they are per instance of breach. An AI system processing 10 million records without proper governance is not one breach. It may be ten million.
The Data Protection Officer under DPDPA is individually accountable. An AI system with no governance documentation, no consent audit trail, and no breach response plan is a personal liability waiting to be served.
AI governance is now a board responsibility, not just a technology responsibility. SEBI is developing AI risk disclosure requirements. Directors who signed off on AI deployment without adequate governance reviews face personal exposure.
Most legal teams read AI contracts looking for the wrong things. They check IP ownership. They check indemnity caps. They miss the surface area.
The AASAI™ methodology maps every clause in an AI vendor agreement that creates legal exposure — from data rights and model ownership to hallucination liability and algorithmic bias indemnity.
The aggregate AASAI™ score tells your board one number: this AI contract creates this much legal exposure. Address it, negotiate it away, or decline to sign it.
| Obligation | Section | Penalty |
|---|---|---|
| Security Safeguards | 8(5) | ₹250 Cr |
| Breach Notification Failure | 8(6) | ₹200 Cr |
| Children's Data — AI systems | 9 | ₹200 Cr |
| SDF Additional Obligations | 10 | ₹150 Cr |
| Other Obligations | Schedule — Catch-all | ₹50 Cr |
These are per instance penalties. An AI system making 10,000 automated decisions on inadequate consent is not one ₹250 Cr exposure. Read the statute.
Six stages. Every deliverable is a legal document, not a slide deck. Every recommendation is anchored in statute, not strategy frameworks borrowed from another jurisdiction.
Full inventory of every AI system deployed — vendor, internal, agentic. Every data feed. Every automated decision. The AASAI™ baseline score.
Match your AI inventory against DPDPA, EU AI Act, and applicable sectoral regulations. Every gap becomes a numbered legal risk item.
Board-approved AI Governance Policy. Ethics Committee charter. DPO advisory brief. Model lifecycle protocols. Consent and data lineage maps.
Renegotiate every AI vendor contract with AASAI™ protections. New AI procurement standards. Agentic AI deployment agreements.
PRAMAANA™ documentation layer. Build the evidentiary record that survives a Data Protection Board investigation from day one of deployment.
Quarterly AI governance reviews. Regulatory monitoring. Incident response standby. Board AI briefings. Annual AASAI™ re-scoring.
Every framework AMLEGALS AI applies was built in practice — in client mandates, in contract negotiations, in regulatory submissions. Not in a consulting project. Not in a law school paper.
Every global AI governance firm builds for Europe or the US first. AMLEGALS AI built for India first — with 27 years of Indian regulatory practice — and now brings that into every multi-jurisdiction mandate.
McKinsey builds AI governance slides. BCG builds AI transformation roadmaps. AMLEGALS AI builds governance documents that can be submitted to the Data Protection Board, used in arbitration, and relied upon in court.
AASAI™. PRAMAANA™. Digital Atman Theory. Vibe Data Privacy™. Consent Capital™. Privacy Dividend™. These frameworks belong to AMLEGALS. No other firm brings them to your mandate.
Rules are coming. Regulators are watching. Boards are asking. The first company in your sector to build real AI governance will own the category advantage for the next decade.