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Build and use AIwith clear legalguardrails.

SIRI Law LLP advises companies building or adopting AI on governance, contracts, data use, intellectual property and regulation, with advocates who understand how these systems actually work.

  • Free first consultation
  • Practical AI policies
  • Privileged risk assessments
  • India and EU AI rules
  • Hyderabad and online

AI & Emerging Technology Law

India has no single AI statute, which does not mean AI is unregulated. Data protection, intellectual property, consumer, contract and IT laws all apply to your models and the people who use them. We help you move fast on AI without walking into avoidable liability.

Startups and scale-ups

AI product companies

Terms of use, model and data licences, IP ownership, customer contracts and regulatory positioning.

Teams rolling out GenAI tools

Enterprises adopting AI

Acceptable-use policies, vendor due diligence, confidentiality and employee guidance.

Publishers, platforms and creators

Media and content businesses

Deepfakes, synthetic media, licensing of content and takedown strategy.

Finance, healthcare and insurance

Regulated sectors

AI use within sector rules on fairness, explainability, outsourcing and data.

Roadmap

Your AI legal roadmap, step by step.

Responsible AI adoption follows a sequence. This is the order that reduces risk fastest without slowing your product down.

  1. 01
    Inventory

    Know what you are using

    Most organisations use more AI than they realise, including tools employees adopted themselves.

    • Inventory of AI tools, models and use cases
    • Classify use cases by risk and data sensitivity
    • Identify which laws and sector rules apply
    • Privileged gap assessment
  2. 02
    Governance

    Set the rules

    Clear rules let teams use AI quickly, without asking for permission each time.

    • AI acceptable-use and governance policy
    • Approval and review process for new AI use cases
    • Roles and accountability, including human oversight
    • Staff guidance on confidential and personal data
  3. 03
    Vendors and customers

    Contract for the risk

    AI terms shift risk in unusual ways, especially around data, IP and output.

    • LLM and AI vendor terms: data use, training, security and indemnities
    • Customer-facing terms for AI features
    • Licences for datasets, models and content
    • Allocation of responsibility for output errors
  4. 04
    Product and compliance

    Launch responsibly

    Products that touch personal data, content or regulated decisions need careful launch.

    • Privacy notices and consent for AI data use under the DPDP Act
    • IP ownership and copyright position on output
    • Disclosures, labelling and transparency
    • EU AI Act analysis for products offered in Europe
  5. 05
    Ongoing

    Monitor and respond

    Models drift, laws change and incidents happen.

    • Regulatory tracking and policy updates
    • AI incident response: leakage, misuse and harmful output
    • Disputes, takedowns and claims
    • Periodic audits and staff training

What we do

AI and emerging technology legal services, end to end.

Available as individual projects or as ongoing counsel through SIRI Shield.

01

AI governance and policies

Use policies, governance frameworks and approval processes that people actually follow.

  • Policies
  • Governance
  • Oversight
02

AI and LLM contracts

Vendor, API and customer terms covering data use, IP, indemnities, security and output responsibility.

  • LLM terms
  • API
  • Indemnity
03

Training data and privacy

Lawful use of personal data and content for training and fine-tuning, including consent and DPDP Act obligations.

  • DPDP Act
  • Consent
  • Data sourcing
04

Intellectual property and AI

Ownership of outputs, copyright in training data, trade secrets and licensing of models and datasets.

  • Copyright
  • Ownership
  • Licences
05

Deepfakes and synthetic media

Legal strategy for impersonation, synthetic content, labelling duties and takedowns.

  • Deepfakes
  • Takedowns
  • Labelling
06

EU AI Act and cross-border rules

Risk classification, obligations and timelines for AI offered into the European Union.

  • EU AI Act
  • Risk tiers
  • Cross-border
07

AI risk assessments and audits

Privileged reviews of bias, explainability, security and legal exposure of AI systems.

  • Risk review
  • Bias
  • Explainability
08

Sector-specific AI counsel

AI in finance, healthcare and insurance, alongside RBI, IRDAI and health-data rules.

  • Fintech
  • Healthcare
  • Insurance
09

AI incidents and disputes

Response to data leakage, prompt-injection incidents, harmful output and related claims.

  • Leakage
  • Incidents
  • Claims

Where we come in

Five AI risks we see most often.

None needs a new law to be a problem. Existing law already covers each of them.

  1. Confidential data pasted into public AI tools

    Staff paste client data, source code or contracts into consumer AI tools. That can breach confidentiality duties and data protection obligations in one step.

  2. Vendor terms nobody read

    Some AI vendors reserve rights to use your inputs for training, offer no IP indemnity and cap liability sharply. These terms are negotiable, but only if someone reads them.

  3. Assuming you own the output

    Ownership of AI-generated content is unsettled in India. Without a contract that allocates rights, you may not have the exclusive rights you assume.

  4. No AI policy at all

    Without rules, employees create shadow AI use. An AI policy gives people clear boundaries and gives you evidence of reasonable care.

  5. Treating AI output as reliable

    Wrong, biased or fabricated output that reaches customers is still your responsibility. Human review and clear disclaimers matter, and neither is optional.

Free consultation

Launching or adopting AI and not sure what the law requires?

Book a free first consultation. We will map your use cases to the rules that apply, tell you what to do first, and quote fees in writing.

Why businesses choose us

Legal advice that understands the technology.

Retain us for a single matter or for the long run. Either way you deal with the same accountable team.

Technology-first firm

Our practice began at the intersection of law and technology. We understand how models are trained, deployed and attacked.

Practical over theoretical

We give you policies, contract terms and decisions you can use this week, not a survey of open questions.

Connected to privacy and security

AI risk overlaps data protection and cybersecurity. Our privacy and cyber teams work on the same matter, so nothing falls between them.

Google reviews

See what our clients say on Google.

We would rather you read independent reviews than take our word for it. Every review is on our Google Business Profile.

Questions

Common questions.

General information only, not legal advice. Every situation differs, so speak to us about yours.

Is there an AI law in India?

There is no single AI-specific statute at present. Existing laws apply, including the IT Act and its rules, the DPDP Act 2023, intellectual property and consumer protection laws. The Government has also issued advisories and guidelines, and rules on areas such as deepfakes are evolving.

We track developments and confirm what applies to your use case.

Who owns content generated by AI?

This is unsettled. Indian copyright law is built around human authorship, and how it applies to AI output is still being worked out.

Because the law is unclear, contracts should state who owns outputs and what rights each party has.

Can we use customer data to train our models?

Only where you have a lawful basis and permission. Under the DPDP Act, personal data generally needs valid consent or another permitted ground, and your contracts with customers may restrict use as well.

We review data sources and terms before training begins.

Does the EU AI Act apply to us?

It can. The EU AI Act applies to providers and deployers outside the EU where their AI systems are placed on the EU market or their output is used in the EU. Obligations depend on the risk category and phase in over time.

We can classify your systems and explain the timeline.

Are we liable if our AI gives a wrong answer?

Often yes. Responsibility depends on who deployed the system, what was promised and how the output was used. Disclaimers help but do not remove liability for foreseeable harm.

Contracts, human review and testing all reduce the risk.

Do we really need an AI policy?

If anyone in your organisation uses AI tools, yes. A short, clear policy protects confidential data, sets boundaries for staff and shows you took reasonable care.

We can draft one that fits your business in days, not months.

How much does this cost?

AI policies and contract reviews are available at fixed fees. Broader programmes are scoped after a first conversation, and ongoing support can be covered by a SIRI Shield retainer.

In every case, fees are agreed in writing before work starts.

Free first consultation

Tell us about your ai matter.

High level is fine. We check conflicts, tell you honestly whether we can help, and what it would cost. You decide, with no pressure.

HyderabadHITEC City, Madhapur, Hyderabad, Telangana 500081
Delhi NCRConnaught Place, New Delhi 110001
Austin, TexasNorth America practice

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HITEC City, Madhapur, Hyderabad, Telangana 500081

Mon to Sat, 9:30 AM to 7:00 PM IST · Meetings by appointment · Online consultations worldwide

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