AI Ethics, Legal Considerations, and Contract Analysis

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

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

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

• 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

• 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

• 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

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

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

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

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