Integrating LLMs into Legal Practice

22/09/2026 15:00 - 18:15

24/09/2026 15:00 - 18:15

29/09/2026 15:00 - 17:00

_{Module 1: UnderstandingLLMs and Their Role in Legal Practice}

• What Large Language Models (LLMs)are and how they function in a legal context
• Capabilities of LLMs in legal work:
• Drafting assistance
• Summarization of documents
• Research support
• Internal analysis
• Key limitations:
• - hallucinationsand inaccuracies
• - lack of jurisdiction-specific precision
• - absence of legal judgment
• Distinction between:
• - usingLLMs as a support tool
• - improperly relying on LLMs for legal decision-making
• - identification of appropriate and inappropriate use cases in daily legal practice
• Overview of commonly used LLM tools (high-level, non- technical)

_{Module 2: PracticalUse – Prompting, Drafting and Legal Workflows}

• Structuring effective prompts for legal tasks:
• - role-based prompting
• - constraint-based instructions
• -  iterative refinement techniques
• Use of LLMs in drafting:
• - contracts and clauses
• - legal opinions
• - internal memoranda
• Reviewing and refining AI-generated outputs
• UsingLLMs for:
• - summarising case law and legislation
• - extracting key legal issues
• - generating structured first drafts
• Building repeatable workflows:
• -prompt templates
• - internal usage frameworks within firms
• Practical exercises:
• - drafting and refining a clause
• - evaluating an AI-generated legal response
• - constructing prompts for real legal scenarios

_{Module 3: Risk,Ethics and Professional Responsibility}

• Confidentiality risks and handling of client data
• Data protection considerations under EU and Cyprus law
• Professional liability and negligence risks arising from AI use
• Duty of care and supervision when using LLMs
• Identifying unacceptable or high-risk use cases
• Development of internal firm policies on AI usage
• Client communication and disclosure considerations:
• - when disclosure may be required
• - when it may not be necessary
• Maintaining accountability for all AI- assisted work

_{Module 4: Taxation in Real Estate Transactions – Practical Impact on the Deal}

• Use of LLMs in higher- level legal work:
• - strategy development
• - negotiation preparation
• - risk identification and scenario analysis
• Integrating LLMs with:
• - internal know-how
• - precedent databases
• - firm-specific documentation
• Developing internal AI systems:
• knowledge repositories
• prompt libraries
• Evaluating efficiency:
• when LLMs reduce time
• when they increase review burden
• Identifying tasks that can be enhanced versus those that require full legal judgment
• Positioning AI as a tool for competitive advantage in legal practice

This course is suitable for:

• Practising lawyers at all levels, including junior, mid-level and senior practitioners
• In-house legal counsel involved in drafting, advisory and compliance work
• Corporate service providers and professionals involved in company administration and regulatory matters
• Compliance officers and risk professionals responsible for internal controls and regulatory compliance
• Trainee lawyers
• paralegals seeking to develop practical skills in modern legal workflows
• Legal professionals and organisations seeking to integrate AI tools into daily legal practice in a structured and compliant manner

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