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Legal AI Prompt Engineer

This virtual internship simulation places you in the role of a Junior Legal AI Prompt Engineer at LexNova AI, a leading LegalTech company. Over five days, you will work on a real client brief from Hamilton & Rao Associates, auditing and redesigning AI prompts, building contract review tools, conducting legal research, and delivering a professional client submission pack. This program bridges the gap between legal education and the rapidly growing field of legal technology — giving you hands-on, practical experience that employers are actively looking for.

6 Tasks3 EnrolledSelf-paced

ABOUT THE PROGRAMME

The Legal AI Prompt Engineering Virtual Internship, endorsed by LexNova AI, is a premium job simulation programme designed to give law students and early-career legal professionals a practical, hands-on experience of working in the rapidly growing field of legal technology. Over the course of five immersive days, participants step into the role of a Junior Legal AI Prompt Engineer at LexNova AI, a leading LegalTech company. Working on a live client brief from Hamilton & Rao Associates, participants are challenged to audit and redesign AI prompts, build contract review and risk analysis tools, develop a legal research assistant, conduct quality control reviews, and ultimately deliver a complete, client-ready Prompt Engineering Pack — exactly as they would in a real professional environment. This programme requires no coding or technical background. Instead, it focuses on the skills that modern legal employers are actively seeking — the ability to work confidently with AI tools, communicate clearly with clients and technical teams, think critically about AI-generated legal content, and maintain the highest standards of accuracy and quality in a legal context. The simulation is structured to mirror the real pressures and responsibilities of a LegalTech workplace, complete with client feedback, stakeholder communication, internal team meetings, and a final senior-level review. Every task is purposefully designed to build competence, confidence, and a portfolio of work that participants can showcase to future employers. Whether you are a law student looking to stand out, a graduate exploring careers beyond traditional law, or a legal professional looking to upskill in AI and legal technology, this programme gives you the practical experience and industry exposure you need to take the next step. By the end of this programme, you will not just understand legal AI — you will know how to work with it.

PROGRAM OBJECTIVES

  • Identify weaknesses in AI prompts used in legal environments and propose structured improvements
  • Design professional-grade prompts for NDA review, contract risk analysis and legal research
  • Apply prompt engineering principles to produce consistent, structured and commercially useful AI outputs
  • Conduct quality control reviews of AI-generated legal content and detect hallucinations and inaccuracies
  • Communicate effectively with clients and internal stakeholders in a LegalTech environment
  • Compile and deliver a client-ready Prompt Engineering Pack to a professional standard

KEY FOCUS AREAS

  • Prompt Engineering — Designing, testing and iterating AI instructions for legal use cases
  • Contract Analysis — NDA review, risk identification and clause analysis using AI
  • Legal Research — Building AI-assisted research tools grounded in statutes and case law
  • AI Quality Assurance — Detecting hallucinations, verifying legal authorities and validating outputs
  • Legal Technology Operations — Understanding how AI tools are deployed in real law firm environments
  • Stakeholder Communication — Responding to client feedback and presenting professional deliverables

MONDAY — Day 1: Understanding the Problem

TUESDAY — Day 2: Client Feedback & Expansion

WEDNESDAY — Day 3: Engineering Team Meeting

THURSDAY — Day 4: Legal Research Expansion

FRIDAY — Day 5: Final Client Delivery

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Learning Content Locked

Case scenarios, quizzes, and detailed learning materials are available after enrollment.