AI & Technology Law
AI can draft, predict, automate and analyse. Who governs what happens next? Explore the legal questions shaping AI, from privacy and copyright to governance, liability and responsible use in legal practice.
Understand the technology. Examine the law.
A structured programme connecting AI foundations with regulation, privacy, intellectual property, liability, evidence, governance and practical legal work.
AI as a legal, regulatory and governance challenge.
Artificial Intelligence is changing how organisations make decisions, use information and deliver professional services. These developments bring questions about rights, responsibility, ownership and accountability.
Resolvify’s AI & Technology Law programme examines AI as a legal, regulatory, commercial and governance challenge.
Across 12 live sessions, participants explore how AI systems work, where legal risks arise and how those risks can be addressed through law, contracts and organisational controls.
Course Curriculum
Twelve sessions exploring AI, law and responsible practice. Each session lasts one hour, with live virtual classes on Saturdays and Sundays across six weeks.
AI Foundations, Generative AI & LLMs
- Understand the differences between predictive AI, generative AI, foundation models and large language models.
- Explore how training, inference and fine-tuning work.
- Trace the AI lifecycle from development and testing to deployment and monitoring.
- Identify where data, intellectual property and governance risks arise.
AI, Privacy & Constitutional Rights
- Examine AI’s relationship with equality, speech, privacy, dignity and autonomy.
- Explore personal data use and the DPDP Act, 2023.
- Understand algorithmic opacity, explainability and human review.
- Recognise hallucinations, prompt injection and data-leakage risks.
AI Governance & Comparative Regulation
- Understand the purpose and building blocks of AI governance.
- Explore risk classification and proportionate controls.
- Examine the EU AI Act’s regulatory structure.
- Compare approaches across India, the EU, the UK and the US.
Automated Decisions, AI Training & Copyright
- Examine automated decision-making, procedural fairness and opportunities for review.
- Explore training datasets, web scraping, licensing and text-and-data mining.
- Distinguish training-data questions from ownership and infringement questions involving outputs.
- Compare Fair Use, Fair Dealing and the role of human authorship.
AI Harm, Bias & Liability
- Identify financial, reputational, discriminatory, privacy and other AI-related harms.
- Examine responsibility across developers, vendors, deployers and users.
- Explore bias, causation and the challenges of allocating liability.
- Discuss contractual and organisational safeguards.
Corporate AI Governance & Contract Drafting
- Build an understanding of AI inventories, ownership and approval processes.
- Explore impact assessments, monitoring and incident response.
- Review AI contract terms covering data use, confidentiality, security and intellectual property.
- Examine indemnities, liability caps, audit rights, model changes and exit provisions.
Digital Evidence, Authentication & Forensic Verification
- Distinguish authenticity, integrity and reliability in digital evidence.
- Explore electronic records and Section 63 of the Bharatiya Sakshya Adhiniyam, 2023.
- Understand chain of custody, metadata and cryptographic hashing.
- Examine synthetic-media verification, digital provenance and the limits of technical indicators.
Prompt Engineering & AI-Assisted Legal Work
- Explore AI-assisted research, drafting, contract review, due diligence and summarisation.
- Structure prompts using context, tasks, source material, constraints and output requirements.
- Use authoritative source material to support more grounded outputs.
- Build confidentiality checks and human review into legal workflows.
AI Verification, Ethics & Professional Responsibility
- Check AI-generated legal content for accuracy, fabricated authorities and unsupported conclusions.
- Verify citations, quotations and the propositions they support.
- Explore confidentiality, data sanitisation, professional competence and supervision.
- Examine the additional concerns raised by judicial and adjudicative uses of AI.
Global AI Governance & Cross-Border Compliance
- Explore international initiatives from the OECD, UNESCO, UN and G7.
- Understand regulatory fragmentation and cross-border AI risks.
- Examine the role of ISO/IEC 42001 and NIST risk-management frameworks.
- Combine organisation-wide governance principles with jurisdiction-specific controls.
India’s AI Strategy & Practical Governance
- Examine India’s evolving AI policy and regulatory landscape.
- Consider the relationship between innovation, rights and risk-based safeguards.
- Connect privacy, intellectual property, liability, security and procurement concerns.
- Bring legal, contractual, technical and organisational controls into an integrated governance approach.
Doubt-Clearing & Assignment Review
- Revisit key concepts across the programme.
- Discuss participant assignments and questions.
- Clarify challenges in AI governance and AI-assisted legal work.
- Consolidate learning across technology, law and practical risk management.
What You’ll Gain
A practical foundation for understanding and managing AI-related legal risks.
Functional AI Literacy
Understand the vocabulary, processes and system characteristics needed to engage with AI-related legal questions.
A Comparative Regulatory Perspective
Explore Indian and international approaches to AI regulation, privacy and governance.
Governance and Contract Review Skills
Identify organisational controls and contractual provisions relevant to AI procurement and deployment.
More Structured AI-Assisted Workflows
Learn how to frame prompts, work with source material and apply verification and confidentiality checks.
An Understanding of Digital Evidence
Explore authentication, chain of custody and forensic considerations when digital content may be manipulated or AI-generated.
Dedicated Review and Discussion
Use the final session to revisit difficult concepts, discuss assignments and resolve outstanding questions.
Who Should Attend?
The programme is designed for professionals and learners engaging with technology, law and AI-related governance.
Law Students & Early-Career Lawyers
Build a foundation in technology law and understand AI’s implications for legal work.
Practising Lawyers & In-House Counsel
Explore AI-related questions involving contracts, privacy, intellectual property, evidence and liability.
Compliance, Privacy & Governance Professionals
Develop an understanding of AI risk assessment, organisational controls and cross-border governance.
Frequently Asked Questions
Click a question to view the answer.
Do I need a technical or coding background?
What is the duration and format?
Does the course cover Indian and international developments?
Will the course cover practical uses of AI in legal work?
Does the programme include AI contracts and corporate compliance?
Will there be a doubt-clearing session?
What is the course fee?
How do I register?
Understand AI. Help shape its responsible use.
Build your understanding of the legal questions, professional responsibilities and governance choices surrounding Artificial Intelligence.
