Artificial Intelligence in Contract and Project Management

Course overview

Course outline

1. 1Day 1: Introduction to Artificial Intelligence (AI) in Commercial Contracts and more

   • Introduction to Artificial Intelligence (AI) in Commercial Contracts
   • Overview of Business Structures and Contracting
   • Emergence of AI and its application in society and business
   • What can AI do and what it can’s do?
   • The benefits and risks of using AI tools for contract negotiation
   • Contract Formation: terms and conditions
   • AI in Commercial Contracts Drafting: Enhancing Speed and Compliance
   • Can AI draft a commercial contract?
   • Remedies of Breach of Contracts
   • Damages: Compensatory, Consequential and Incidental
   • Damages, Liquidated Damages
   • Termination of Contracts: AI role?
   • The traditional commercial contract drafting process
   • Limitations and challenges faced in traditional drafting methods
   • Benefits of AI in the contract drafting process
   • Best practices for implementing AI for contract drafting
2. 2Day 2: AI in Commercial Contract Negotiations: How to do so profitably?

   • Negotiating Commercial Contracts
   • Joint Venture (JV)
   • Example- Production Sharing Contracts (PSC)
   • Fundamental Legal Principles
   • Commercial Realities
   • Cultural and Language Issues
   • The application of AI in negotiating commercial contracts
   • Liability clauses
   • Contractual indemnity
   • Insurance provisions
3. 3Day 3: AI and Contract Management and more

   • AI and Contract Management
   • Risk Management and AI
   • The role of AI in contract management
   • Sending payment reminders, contract renewals reminders
   • Tracking contracts performance
   • Identifying any potential breaches of contract
   • Managing end-to-end contracting workflow
   • How data collection becomes another metric to be analysed and used in optimising contract negotiations
   • Indemnity and Exclusion Clauses: Why the need and the role of AI?
   • Performance & Penalties
   • Force Majuere, Change in Law and other Disputes
   • AI role in Dispute Resolution under Cross Border / International Agreements
   • The emergence of AI and its application in dispute avoidance
   • AI and developing negotiation strategies in dispute avoidance under commercial contracts
   • Arbitration & Mediation – Important Differences
   • Mediation and Conciliation, Adjudication, Dispute Boards - save time and costs
   • Enforcement of International Arbitration Awards under the New York Convention
   • Contemporary Developments in Case Law and Legislation
4. 4Day 4: Introduction to AI in Project Management & AI for Project Scheduling and Resource Allocation

   • Introduction to AI in Project Management
   • Overview of AI and its relevance in project management.
   • Introduction to various AI technologies impacting project management.
   • The role of data in AI-driven project optimization.
   • Understanding AI capabilities in project planning and execution.
   • Overview of AI tools available for project managers.
   • Analysis of AI applications in project management.
   • AI for Project Scheduling and Resource Allocation
   • Principles of AI in scheduling: from theory to application.
   • Demonstrations of AI-driven scheduling effectiveness.
   • Exploration of tools and software for AI-based scheduling.
   • AI approaches to resource allocation and optimization.
   • Simulation of an AI-driven project scheduling scenario.
   • Development session: AI resource allocation model.
5. 5Day 5: AI for Risk Prediction and Management & Integrating AI into Project Management Practices and more

   • AI for Risk Prediction and Management
   • Fundamentals of risk management using AI.
   • Demonstrations of predictive analytics and risk assessment models.
   • AI in qualitative vs. quantitative risk analysis.
   • Implementing AI tools for continuous risk monitoring.
   • Analysis of AI-driven risk management effectiveness.
   • AI risk prediction tool.
   • Integrating AI into Project Management Practices
   • Strategic integration of AI technologies in existing processes.
   • Managing change for AI adoption in project teams.
   • Ethical considerations and AI in project management.
   • Building AI competency within project management teams.
   • AI integration roadmap.
   • Review and Practical Application
   • Review of key AI concepts and tools learned throughout the workshop.
   • Hands-on practical exercise with a comprehensive AI project management tool.
   • Development of a personalized AI implementation action plan.
   • Individual feedback: Sharing insights and experiences.
   • Overcoming barriers to AI adoption.