Course Introduction : 

Contracts serve as the foundation of all commercial and legal transactions, yet many organizations still struggle to manage them efficiently and effectively. According to leading industry research, poor contract management can result in revenue leakage of up to 9% of an organization`s annual income (IACCM, now WorldCC). As businesses face increasing complexity and data-driven environments, Artificial Intelligence (AI) has emerged as a transformative tool that is reshaping contract management by reducing operational inefficiencies, minimizing risks, and enhancing decision-making processes.

Today’s digital era is marked by an unprecedented volume of data. Managing and interpreting this data to support contractual decisions requires advanced technologies—and AI stands at the forefront. Professionals involved in contract drafting, negotiation, and administration must now develop a solid understanding of AI applications to remain competitive and to guide the ethical and practical implementation of these tools within their organizations.

This advanced and interactive training course delves into the real-world application of AI in contract lifecycle management—from automated contract review and risk identification to intelligent negotiation support and dispute resolution. Participants will explore how AI technologies are being integrated into key phases of the contracting process, including the automation of clause generation, detection of red flags, risk profiling, and optimization of contractual terms.

This AI in Contract Management training course will provide participants with:

• A comprehensive overview of AI technologies and their specific use cases in contract management
• Insight into how AI can enhance drafting, review, and customization of contracts
• Strategies for managing contractual risks through AI-powered tools
• Understanding of AI’s role in analyzing key contractual clauses: liabilities, indemnities, payment terms, and termination provisions
• Exposure to AI-supported negotiation techniques and decision-making tools
• Exploration of AI’s contribution to dispute resolution, particularly in international and cross-border contracts

Course Objectives : 

By the end of this Artificial Intelligence (AI) in Contract Management training course, participants will be able to:

• Gain an in-depth understanding of key contractual structures and arrangements across selected industries.
• Demonstrate a comprehensive mastery of the role AI plays throughout the contract lifecycle.
• Identify how AI technologies can be effectively applied to assess, mitigate, and manage contractual risks through data-driven clause optimization.
• Apply AI tools to support the drafting of precise, relevant, and enforceable contractual provisions.
• Evaluate AI’s role in modern dispute resolution mechanisms, and how it can be utilized in various legal and commercial scenarios.
• Develop a contextual and forward-looking understanding of AI’s evolution, enabling informed predictions about its impact on future contract practices.

Course Outline

Day1 : 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’t do?
• The benefits and risks of using AI tools for contract negotiation
• Contract Formation: terms and conditions

Day 2 : 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

Day 3 : 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

Day 4 : 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

Day 5 : 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