Risk management using effective legal contract strategies

Course Date: 4 - 5 May 2026
Location: Hybrid online and in person
Time: 6 hours
Duration: Self-managed (12 months maximum)
Application Deadline: View course provider schedule

About the course

The course offers a smart mix of theoretical legal principles and practical guidelines into finalising contracts as well as risk management in the age of artificial intelligence (AI). These agreements or contracts can be across different industries; from the fast moving consumer goods (FMCG) to the telecommunications sectors; from simple goods and services procurement agreements to sophisticated engineering, procurement, construction and installation (EPCI) contracts in the energy and extractive industries.

The course will provide a useful practical guide for a contract’s life cycle, with the goal of not only managing associated contract risks or saving costs, but also avoiding needless contract disputes over project delays and cost claims.

The course will be best suited to those who already understand the general principles of the law of contract.

Active participation will be encouraged through the use of live polls and short questionnaires. Participants will need a smart phone to scan QR codes that link them to the questions.

Course content

Risk assessment mapping for contracts
Risk allocation and transfer mechanisms
- Agreements to negotiate
- Indemnities
- Warranties
- Breach clauses
- Force majeure
- Penalty clauses
- Interest clauses
- Jurisdiction
- Enforcement
- Data management and AI
- IP ownership and AI
- Confidentiality
- Boiler plate clauses - assumptions and risks
- Dispute resolution
Dynamic contract drafting
Stress test for contract clauses
Traditional contract life cycle management
- Contract templates
- Contract milestones
- Management of penalties or damages
Contract life cycle management in the age of AI
- AI-assisted contract templates
- AI-assisted contract milestones
- AI-assisted management of penalties or damages
- AI ethical considerations in contracts
- Natural Language Processing tools (NLPs) to analyse contracts and identify risks
- Balancing technology and human judgment