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Mentor Based

AI Ethics, Legal Considerations, and Contract Analysis

Navigating AI Ethics and Legalities with Confidence

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Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Advanced
  • Duration: 3 Weeks

About This Course

This advanced, mentor-based program is meticulously crafted for lawyers, in-house counsel, compliance officers, and legal technologists seeking to lead in the age of AI. The course delivers a rigorous blend of legal theory, ethical frameworks, and hands-on training in AI-powered contract analysis, with a strong focus on the regulatory realities of the EU and US. Through interactive modules, live expert sessions, and practical case studies, participants will develop the expertise to assess AI-related legal risks, ensure regulatory compliance, and implement AI solutions in their professional practice. The program aligns with the latest industry standards and offers valuable insights for future-ready legal leadership.

Aim

To empower law professionals with the advanced knowledge and practical skills needed to navigate the complex landscape of AI-driven legal practice. The program aims to ensure legal practitioners can critically address ethical challenges, maintain compliance with EU and US regulations, and confidently utilize AI tools for contract analysis and legal risk management in diverse, real-world scenarios.

Program Objectives

  • Understand Advanced Ethical Principles in AI for Legal Practice

  • Master EU and US Legal and Regulatory Frameworks

  • Assess and Mitigate Legal Risks Associated with AI Adoption

  • Effectively Deploy and Supervise AI Tools in Contract Analysis

  • Draft and Negotiate AI-Related Legal Agreements

  • Conduct Practical Legal Risk Assessments and Compliance Audits

  • Demonstrate Leadership in Legal Innovation and Technology Adoption

Program Structure

📚 LMS Table of Contents (TOC)


🗓️ Week 1: Foundations of AI and Legal Ethics in Practice

Module 1: AI in the Legal Sector—Context and Challenges

  • Chapter 1.1: AI and Machine Learning for Legal Professionals

    • Advanced overview: AI in litigation, compliance, due diligence

    • Case examples from major law firms and in-house departments

  • Chapter 1.2: LegalTech and Transformation of Practice

    • Adoption curve in EU/US firms

    • Impact on billable hours, discovery, and contract management

  • Chapter 1.3: Professional and Societal Responsibilities

    • Client confidentiality and privilege with AI

    • Model Rules (ABA, EU Codes) on tech competence

Module 2: Applied AI Ethics for Law Practice

  • Chapter 2.1: Advanced Ethical Principles in Legal AI

    • Conflicts of interest, unauthorized practice, duty of candor

    • Discrimination, bias, and disparate impact in algorithmic tools

  • Chapter 2.2: EU & US Legal Ethics Frameworks for AI

    • GDPR and the AI Act for legal services

    • ABA Model Rules, state bar ethics opinions

  • Chapter 2.3: Managing Ethical Dilemmas

    • Client counseling, risk allocation, mitigation strategies

    • Interactive scenario analysis


🗓️ Week 2: Regulatory Mastery and Advanced Legal Risk Management

Module 3: Data Protection and AI Compliance

  • Chapter 3.1: Deep Dive—GDPR, EU AI Act, and Digital Markets Act

    • Cross-border data transfer for legal work

    • AI-specific obligations for legal service providers

  • Chapter 3.2: US Regulatory Environment for Legal AI

    • State-specific privacy (CCPA/CPRA, NY SHIELD, Illinois BIPA)

    • HIPAA for legal health practice; FTC enforcement

  • Chapter 3.3: Regulatory Compliance in Multijurisdictional Practice

    • Engagement letters, outside counsel guidelines

    • Audits and regulatory inquiries: Preparation and response

Module 4: Managing Complex Legal Risks in AI Implementation

  • Chapter 4.1: Contracting for AI Solutions—Key Clauses and Traps

    • Due diligence, warranties, limitation of liability, indemnities

    • Service level agreements (SLAs), data ownership, and security

  • Chapter 4.2: IP, Professional Liability, and Client Risk

    • IP rights in AI outputs; patent, copyright, and trade secret concerns

    • Malpractice risk in AI-augmented legal services

  • Chapter 4.3: Impact Assessments and Documentation

    • Drafting and defending AI Impact Assessments

    • Sample documents: checklists, audit logs, opinion letters


🗓️ Week 3: Practical AI for Contract Analysis and Future of Legal Practice

Module 5: Advanced AI Tools for Contract Review

  • Chapter 5.1: Selecting and Vetting Legal AI Vendors

    • RFPs, vendor risk assessment, security protocols

    • Comparative analysis: Kira Systems, Luminance, Law Geex, Relativity

  • Chapter 5.2: Deploying AI for Real-World Contract Work

    • Advanced NLP use cases: due diligence, M&A, compliance reviews

    • Workflow integration—how top firms and legal departments do it

    • Drafting a legal risk assessment for a multinational deployment

    • Preparing a compliance report or client advisory memo

  • Chapter 5.3: Career Tracks and Leadership in Legal Tech

    • Building expertise in legal AI consulting, compliance, or policy roles

    • Networking, publishing, and speaking opportunities

  • Module 6: MCQ Final Examination

🎥 Video Module TOC (~20 hours, legal practice focus)

📽️ Week 1 Videos (~6.5 hours)

  • AI Transformation in Legal Work

  • LegalTech Adoption—EU/US Firm Insights

  • Ethics and Privilege with Legal AI

  • Tech Competence for Lawyers

  • Bias in AI for Legal Decisions

  • EU/US Ethics Codes in Action

  • Risk Allocation and Scenario Walkthroughs

  • Reflections: Evolving Legal Professionalism

📽️ Week 2 Videos (~7 hours)

  • GDPR & AI Act for Legal Services

  • US Privacy Laws—Impact on Legal Practice

  • Cross-Jurisdictional Legal Compliance

  • Drafting AI-Related Clauses

  • IP and Malpractice in Legal AI

  • Preparing for Regulatory Audits

  • AI Impact Assessment Workshop

  • Audit Documentation and Legal Defensibility

📽️ Week 3 Videos (~6.5 hours)

  • Selecting Legal AI Vendors—What Law Firms Look For

  • Advanced Use Cases in Contract Analysis

  • AI Contract Review

  • Redlining and Clause Extraction Hands-on

  • Workflow Integration—Firm Case Study

  • Capstone Project Walkthrough

  • Career Leadership in Legal Tech

  • Next Steps and Certification Prep


🎓 Live Lecture Module

🎤 Lecture 1 (Week 1)

Title:
AI & Legal Ethics: Navigating Privilege, Confidentiality, and Professionalism
Duration: 60 minutes
Focus: Model Rules, tech competence, and ethics opinions
Interactive: Real-world ethical dilemma


🎤 Lecture 2 (Week 2)

Title:
Regulatory Compliance in Complex Legal Environments—EU/US Deep Dive
Duration: 75 minutes
Focus: GDPR, AI Act, CCPA/CPRA, HIPAA, multi-jurisdictional issues
Interactive: Compliance simulation and client advisory role-play


🎤 Lecture 3 (Week 3)

Title:
Practical AI for Lawyers: From Contract Review to Legal Risk Management
Duration: 90 minutes
Focus: Live contract review using AI, risk flagging, capstone prep
Interactive: DQ&A + Capstone peer feedback session

Who Should Enrol?

  • Practicing lawyers and attorneys in law firms and corporate legal departments

  • In-house counsel responsible for technology adoption and compliance

  • Compliance officers and risk managers in regulated industries

  • Contract managers and legal operations professionals

  • Legal technology consultants and legal engineers

  • Privacy, data protection, and regulatory affairs professionals

  • Advanced law students or legal scholars specializing in technology law

Program Outcomes

  • Critically Analyze AI Ethics in Legal Practice

  • Navigate EU and US Regulatory Frameworks

  • Implement Legal Risk Management Strategies

  • Utilize Advanced AI Tools for Contract Analysis

  • Draft and Negotiate AI-Related Legal Agreements

  • Lead Legal Innovation and Change Management

  • Prepare for Specialized Legal Tech Certifications

  • Communicate Legal AI Insights to Stakeholders

  • Build a Professional Portfolio

Fee Structure

Discounted: ₹21,499 | $291

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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