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Auditing and Governance Risk and Compliance · AGRC-011
AI-Driven Due Diligence and Contract Auditing
Artificial Intelligence is transforming how organizations conduct due diligence, assess risks, and manage contract auditing activities. This course provides participants…
- Duration5 days
- Next date16 - 20 Nov 2026
- Cities7 cities
- Fee from£2,250
Course overview
Why Attend
Artificial Intelligence is transforming how organizations conduct due diligence, assess risks, and manage contract auditing activities. This course provides participants with practical knowledge of AI technologies and their applications in automating contract analysis, improving risk identification, strengthening compliance monitoring, and supporting more accurate and efficient auditing processes.
AI-driven contract auditing uses technologies such as natural language processing and machine learning to read large volumes of contracts, extract key terms, flag unusual clauses and compare what was agreed with what was actually invoiced or delivered. In due diligence, the same tools help teams review a target company's contracts in days rather than weeks.
A typical example is a merger or supplier review where a team must check hundreds of agreements for change-of-control clauses, liability caps, renewal dates and pricing terms. Manual review is slow and inconsistent, while AI tools can classify contracts, extract obligations into a structured register and highlight the documents that need a lawyer's attention. The course explains how these tools work in plain language, where they are reliable and where they are not, and how to validate their output. Participants practise designing extraction checklists, reviewing AI-flagged risks, matching contract terms against payment data to detect overcharging, and documenting their work so that it meets audit evidence standards.
Governance is covered throughout, including data confidentiality, model limitations and the need for human review of high-risk conclusions. Participants leave with a practical framework for introducing AI into their due diligence or contract audit process, with a pilot plan and controls they can propose to their organisation.
Course Methodology
This course uses an interactive and practical methodology including presentations, case studies, demonstrations of AI applications, hands-on exercises, group discussions, practical workshops, and real-world auditing scenarios.
Course Objectives
By the end of this course, participants will be able to:
- Understand the role of AI in due diligence and contract auditing
- Apply AI techniques for contract review and document analysis
- Identify risks and anomalies using AI-supported methods
- Strengthen compliance monitoring and legal assessment processes
- Utilize AI-driven insights for decision-making and contract management
- Develop frameworks for implementing AI in auditing environments
- Evaluate future trends and challenges related to AI adoption
Target Audience
- Internal auditors
- Compliance officers
- Risk management professionals
- Contract administrators
- Legal professionals
- Procurement and contract managers
- Governance professionals involved in due diligence activities
Target Competencies
- Contract auditing
- Risk assessment and analysis
- AI-enabled auditing techniques
- Due diligence management
- Regulatory compliance
- Data interpretation and analytics
- Fraud detection
- Governance and control frameworks
Course outline
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1Day 1: Foundations of AI in Due Diligence and Contract Auditing
- Understanding the impact of AI on modern auditing and contract management practices
- Exploring the role of AI in due diligence and risk evaluation processes
- Comparing intelligent document analysis with conventional audit approaches
- Understanding machine learning concepts and language processing applications in auditing
- Reviewing the role of data and automation in contract review activities
- Examining practical applications and industry use cases of AI-enabled contract analysis
-
2Day 2: Intelligent Contract Analysis and Information Processing
- Understanding how AI supports high-volume contract review processes
- Extracting and categorizing critical contractual information through intelligent systems
- Identifying unusual patterns and inconsistencies in contractual data
- Improving contract compliance monitoring using AI-supported techniques
- Exploring workflow automation within contract analysis environments
- Practical workshop on AI-supported contract assessment activities
-
3Day 3: AI for Risk Analysis and Fraud Prevention
- Applying AI methods for risk scoring and predictive analysis
- Identifying irregular activities and potential indicators of fraud within contracts
- Understanding AI applications in regulatory monitoring and reporting activities
- Reviewing practical examples of intelligent fraud detection systems
- Applying AI-supported approaches for reducing risk exposure
- Practical exercise on implementing risk mitigation strategies
-
4Day 4: Compliance Management and Legal Due Diligence
- Monitoring contract obligations and regulatory requirements through AI technologies
- Applying AI techniques for compliance assessment and regulatory monitoring
- Understanding intelligent contract lifecycle management and audit tracking systems
- Using AI-generated insights to support contract review and negotiation decisions
- Strengthening legal due diligence processes and compliance visibility
- Practical session on legal and compliance risk assessment techniques
-
5Day 5: Future Trends and AI Implementation Frameworks
- Exploring future developments in AI-supported auditing and due diligence practices
- Understanding ethical considerations and privacy concerns in AI implementation
- Addressing common challenges related to AI adoption within audit functions
- Developing implementation frameworks for AI-based contract auditing systems
- Evaluating organizational readiness for digital auditing transformation
- Final workshop: Designing an AI-driven contract auditing and compliance strategy
Dates and fees
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