Introduction
The programme “The Impact of Artificial Intelligence on Large Companies' Contracts” develops professional practice in Contracts. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from contract drafting and allocation of obligations and risks to risk assessment, controls, and response, with practical work on artificial intelligence applications and controls, legal analysis, research, and memorandum drafting, claims, dispute, and evidence management. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Draft contractual clauses connecting scope, acceptance, payment, and risk allocation in an application related to “The Impact of Artificial Intelligence on Large Companies' Contracts”.
- Design an AI use case with verification criteria and human review.
- Analyze a legal issue and write a memorandum distinguishing facts, rules, and alternatives.
- Prepare a documented claim connecting its basis, facts, effects, and supporting documents.
- Prepare a risk register connecting causes, consequences, controls, and treatment responsibilities.
Learning areas
1. Contract Drafting and Allocation of Obligations and Risks
- Define the contract's purpose, parties, legal capacity, signing authority, and constituent documents, and verify the relevant law and jurisdiction.
- Draft a clear scope, deliverables, acceptance criteria, and delivery schedule, and clarify the relationship between specifications, appendices, and document precedence.
- Review price, payment, change, warranty, and liability terms, connecting obligations to verification methods and evidence that can be retained.
- Define notice, delay, suspension, termination, and dispute resolution mechanisms, checking internal consistency and ensuring clauses do not conflict.
- Prepare a matrix for managing obligations, deadlines, correspondence, and changes, and practice handling a disagreement over scope or acceptance. The application examines a case related to “The Impact of Artificial Intelligence on Large Companies' Contracts”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Legal Analysis, Research, and Memorandum Drafting
- Define the legal question, facts, documents, and parties, separating established facts from accounts and untested assumptions.
- Identify the relevant legal system, jurisdiction, and sources, and verify the law currently in force, its effective date, and amendments before applying it.
- Analyze the relationship between the rule and facts and areas of interpretation and disagreement, documenting arguments and evidence supporting each alternative.
- Draft a memorandum covering the issue, facts, analysis, options, and risks in clear language that preserves precise legal terminology.
- Review the memorandum for consistency, confidentiality, and citation accuracy, and identify matters requiring specialist advice or additional documents.
4. Claims, Dispute, and Evidence Management
- Analyze the event giving rise to the claim, notice requirements, jurisdiction, and deadlines by referring to the contract and applicable law.
- Prepare a chronology connecting correspondence, instructions, and execution records, distinguishing facts, estimates, and allegations.
- Identify the relationship between the event and its time or financial effects, examining alternative explanations and the data needed to establish causation.
- Draft a claim file explaining the request, its basis, supporting documents, and calculation method, and review consistency and weaknesses before submission.
- Compare negotiation, settlement, and escalation routes according to authority, cost, and time, and prepare a register of lessons and measures to prevent recurring disputes.
5. Risk Assessment, Controls, and Response
- Define the work context, objectives, and assessment boundaries, and distinguish the risk source, potential event, and effects on results.
- Gather risks from processes, data, past incidents, and interviews with responsible staff, and document causes and existing controls.
- Estimate likelihood and impact using stated criteria, and review control effectiveness to determine residual risk levels.
- Select a response proportionate to the risks, resources, and authority, and specify the owner, deadline, and early warning indicator.
- Test a scenario involving changing circumstances, update the risk register, and present material risks and required decisions to the appropriate authority.
Practical outputs
- Draft contract clauses, an obligations matrix, and a contract review checklist.
- A use case brief and a test template for the quality of AI outputs.
- A legal research memorandum, source list, and issues requiring verification.
- A claim file, chronology, document matrix, and impact analysis.
- A risk register, control matrix, and prioritized treatment plan.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in contracts, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “The Impact of Artificial Intelligence on Large Companies' Contracts” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “The Impact of Artificial Intelligence on Large Companies' Contracts” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.