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Artificial Intelligence for Lawyers: From Fundamentals to Advanced Prompting Techniques

A hands-on course that teaches lawyers to effectively use AI in legal practice through prompt engineering, legal reasoning, validation techniques, and practical exercises.

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A one-day AI training for lawyers

pdf Download:   Course Outline

Module 1: Foundations of AI in Legal Work

  • The evolution of AI in law: from ELIZA to GPT-4 and beyond
  • Key AI types explained with legal examples: discriminative, extractive, generative
  • How machines “think”: neural networks, deep learning, and the role of transformers
  • How machines “learn”: supervised, unsupervised, and reinforcement learning in legal use cases
  • Capabilities vs. limitations: what AI can do (drafting, summarising, reasoning) and where it “fails” (hallucinations, lack of understanding, prompt sensitivity, sandbagging, etc.)

Module 2: Prompting Fundamentals for Lawyers

  • What is prompting, and why does it matter in legal practice?
  • Core principles: clarity, context, structure, and role definition
  • Adapting outputs to legal formats: memos, emails, reports, and client updates
  • This artificial intelligence course for lawyers explores prompting for different audiences: legal, business, regulatory

Module 3: Intermediate Prompting Techniques

  • Expansion techniques: enriching prompts with legal context, jurisdiction, and objectives
  • Few-shot prompting: guiding AI with examples for structured outputs
  • Templates: using legal communication formats to shape AI responses
  • Legal reasoning frameworks: IRAC and other structured analysis models

 Module 4: Advanced Prompting for Legal Reasoning

  • Role-based prompting: simulating opposing counsel, judges, or regulators
  • Argument and counterargument generation
  • Scenario simulation: testing legal strategies under different factual assumptions
  • Chain-of-thought prompting: guiding AI through step-by-step legal analysis

Module 5: Prompting for Validation and Oversight

  • Autocritique: instructing AI to review and improve its own outputs
  • Autoverification: checking alignment with source documents and legal standards
  • Fact-checking and citation: prompting AI to reference legal sources and precedents
  • Human-in-the-loop workflows: integrating AI into legal review processes with supervision

 

  

Module 6: Prompting for Contracts and Litigation

  • Risk-based prompting: identifying red flags in clauses
  • Coherence-based prompting: detecting inconsistencies across contract sections
  • Weakness-based prompting: improving vague or overly broad language
  • Litigation prompting: building arguments, counterarguments, and procedural strategies

Module 7: Critical Thinking Mode

  • Using AI as a tutor or senior lawyer to guide junior professionals
  • Prompting for reflection, questioning, and deeper legal insight
  • Encouraging independent legal reasoning with AI as a mentor

 Module 8: Future Outlook

  • Technological evolution: what’s coming in AI for legal work?
  • Strategic implications for law firms and legal departments
  • The hybrid lawyer: skills for the AI-assisted legal future

Practical Group Sessions: Structure & Content

Throughout AI legal training, we will have practical workshops as follows:

Scenario-Based Exercises

Participants will work in small groups on real-world legal scenarios (e.g., contract review, litigation strategy, compliance memo) using AI tools. Each group will:

  • Draft a prompt tailored to the task
  • Generate and refine AI outputs
  • Apply validation and oversight techniques
  • Present findings and reflect on the process

Prompt Engineering Challenges

 Timed exercises where participants must:

  • Improve a poorly performing prompt
  • Adapt a prompt to a different audience or jurisdiction
  • Use few-shot or role-based prompting to simulate legal reasoning

Peer Review & Feedback

 Groups will exchange outputs and provide structured feedback using a rubric focused on:

  • Legal accuracy
  • Prompt clarity
  • Output structure
  • Ethical considerations

Redcliffe Training's AI for Lawyers course specialist is a partner at Cuatrecasas, specialising in international arbitration, global disputes, and crisis management. He joined the firm’s international litigation and arbitration team in Barcelona in 2000, later working at the New York office of Skadden, Arps, Slate, Meagher & Flom LLP, where he was involved in major arbitration disputes across Latin America (AAA, ICC).

In 2007, the trainer established Cuatrecasas’ first office in Asia, serving as managing partner of the Shanghai office until 2019. During this time, he led advisory services for inbound and outbound investments in China and Asia, and developed a robust dispute resolution practice with Asian, European, and Latin American dimensions (CIETAC, SHIAC, SIAC, HKIAC). He is also a member of the panel of arbitrators at the Shanghai International Arbitration Center.

He lectures on commercial dispute resolution, participates in moot arbitrations, and regularly publishes on arbitration and legal innovation. He is fluent in Spanish, English, French, and Chinese, and brings a multicultural perspective to legal strategy and technology adoption.

In recent years, he has become a leading voice in the integration of generative AI into legal practice. He trains law firm partners, in-house legal teams, and boards of directors on AI legal training adoption, prompting techniques, and strategic implementation.

He lectures on AI and law at Wharton Business School, ESADE, UPF, and other top institutions, and advises international clients on integrating AI into high-stakes legal practice. Omar is recognised for combining real-world, high-level legal expertise with advanced, practical AI training, grounded in live, hands-on exercises and the realities of legal work.

This artificial intelligence law course covers the following:
  • Lawyers at law firms and in-house will gain a robust understanding of generative AI and its applications in legal work.
  • Equip participants to critically evaluate, select, and drive AI adoption and innovation in legal teams.
  • Demonstrate premium prompting techniques for extracting value from AI tools in complex legal decision-making.
  • Develop hands-on expertise in prompt engineering for use cases in advisory, contracts, compliance, and litigation oversight.

  • This AI law course is based on real-life, high-level in-house training for major corporates and top law firms.
  • We use direct exercises using the latest AI legal tools. Participants are able to bring real-life issues for analysis.
  • Strong emphasis on critical thinking and human supervision, not hype or generic vendor demos.
  • Taught by a law firm partner and AI legal training consultant with significant multicultural and international experience.

This is a must-know for:
  • General Counsel, Chief Legal Officers, Legal Operations Leaders
  • Partners and associates at top law firms
  • Senior in-house lawyers responsible for innovation or digital transformation

Redcliffe’s Training’s artificial intelligence course for lawyers is a hands-on, high-impact session that positions your legal team at the forefront of AI adoption.

We demystify technology, sharpen your strategic thinking, and provide actionable tools for the modern legal environment.

Rather than focusing on any one AI product, this legal AI training teaches lawyers the core concepts and prompting techniques needed to work effectively with any current or future generative AI tool.

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