Legal, Contracts, and Procurement
Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice
A five-day course on using artificial intelligence in legal practice safely and professionally, covering AI fundamentals, professional responsibility and competence, verification and quality control, ethics and bias, and AI adoption strategy and governance. Participants learn to verify every output to a professional standard.
Introduction
Lawyers now work alongside systems that summarise case files, draft first versions of documents, predict outcomes, and search vast repositories in seconds. That capability raises questions the profession cannot answer with technical knowledge alone: what may be delegated to a model, what must a lawyer verify, and who answers for an error that reaches a client. This Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Training Course gives legal professionals a complete working method for those questions. Participants learn AI fundamentals, professional responsibility, verification practice, ethics, and responsible adoption strategy.
Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Course Objectives
- Apply AI fundamentals: language models, retrieval, and their limits.
- Apply professional responsibility duties to AI-assisted legal work.
- Apply competence, confidentiality, and supervision obligations correctly.
- Build verification and validation routines for AI-generated output.
- Apply legal research and drafting practice with AI support.
- Apply data protection and privilege rules to AI tools.
- Apply court rules, disclosure duties, and citation accuracy checks.
- Apply bias, fairness, and access to justice considerations.
- Design an AI adoption strategy for a legal practice or department.
- Measure performance with accuracy, review time, and risk incident rate.
Course Methodology
- Facilitated sessions built on real case files, AI output, and professional conduct rulings.
- Case workshops on hallucinated citations, privilege breaches, and disclosure failures.
- Verification, citation checking, and drafting exercises with live documents.
- Ethics scenario and adoption strategy practice labs.
- Group exercise on an AI use policy with a risk and control register.
Who Should Take This Course
- In-house counsel and law firm lawyers.
- Legal operations and knowledge managers.
- Compliance and risk officers in legal teams.
- Judges' clerks and judicial research staff.
- Legal educators and trainers.
- Bar and regulatory affairs professionals.
Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Course Outlines
AI Fundamentals for Legal Work
- • Language models, retrieval systems, and generative AI basics.
- • Capability boundaries: what models do well and poorly.
- • Hallucination, fabrication, and citation risk.
- • Legal research, summarisation, and drafting use cases.
- • Document review, e-discovery, and analytics tools.
- • Data residency, training exposure, and privacy settings.
- • Assessing a tool before putting it into practice.
Professional Responsibility and Competence
- • Duty of competence in a technology-enabled practice.
- • Confidentiality, privilege, and client data protection.
- • Supervision of juniors, staff, and automated tools.
- • Communication with clients about AI use.
- • Billing, efficiency, and value expectations.
- • Advertising, competence claims, and professional standards.
- • Cross-border practice and regulatory divergence.
Verification and Output Quality Control
- • Verification methodology for AI-generated content.
- • Citation checking, source retrieval, and authority validation.
- • Structured review and sampling protocols.
- • Drafting first versions and the human redraft process.
- • Quality assurance in document review and extraction.
- • Error logging, correction, and lessons learned.
- • Building a verification checklist for a practice group.
Ethics, Bias, and Access to Justice
- • Bias in data, models, and outputs.
- • Fairness in sentencing, risk scoring, and decision support.
- • Transparency, explainability, and the duty to understand.
- • Unauthorised practice of law and automated advice.
- • Access to justice opportunities and risks.
- • Client consent, capacity, and vulnerable clients.
- • Regulatory guidance and emerging professional rules.
Strategy, Governance, and Adoption
- • AI strategy for a legal practice or department.
- • Use policy, permitted tools, and prohibited uses.
- • Governance structure, oversight, and audit trails.
- • Procurement and vendor due diligence for legal AI.
- • Training, capability building, and change management.
- • KPIs: accuracy, review time, and risk incident rate.
- • Building a responsible AI adoption roadmap.
Conclusion
By successfully completing the Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Training Course, participants will have acquired a thorough working knowledge of AI fundamentals for legal work, professional responsibility duties, verification and quality control, ethics and bias considerations, and AI adoption strategy and governance. They will leave able to use AI tools where they add value, verify every output to a professional standard, and adopt the technology under a policy that protects clients and the practice. Gentex Training Center delivers this programme with legal, ethics, and legal technology practitioners working in live practice.
FAQs for the Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice course
— What is the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course about?
It is a five-day programme on using artificial intelligence in legal practice safely and professionally. It covers AI fundamentals, professional responsibility and competence, verification and quality control, ethics and bias, and AI adoption strategy and governance.
— What are the key benefits of the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course?
Participants use AI tools where they genuinely reduce effort, verify every output to a professional standard instead of trusting it, and adopt the technology under a policy that protects privilege and client data. They also handle bias, disclosure, and competence duties with a documented approach.
— What skills will I gain from the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course?
You will gain AI capability assessment for legal work, professional responsibility and confidentiality management, verification and output quality control, and ethics, bias, strategy, and governance management.
— What tools, methods, or standards are covered in the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course?
The course works with language model, retrieval system and generative AI fundamentals, capability boundary assessment, hallucination, fabrication and citation risk control, legal research, summarisation and drafting use cases, document review, e-discovery and analytics tools, data residency, training exposure and privacy settings, tool assessment before adoption, the duty of competence in technology-enabled practice, confidentiality and privilege protection, supervision of juniors, staff and automated tools, client communication about AI use, billing and efficiency expectations, advertising and competence claims, cross-border regulatory divergence, verification methodology for AI-generated content, citation checking and authority validation, structured review and sampling protocols, human redraft process, quality assurance in document review and extraction, error logging and lessons learned, verification checklist design, bias in data, models and outputs, fairness in sentencing and risk scoring, transparency and explainability duties, unauthorised practice of law and automated advice, access to justice considerations, client consent and vulnerable client handling, regulatory guidance, AI use policy design, governance structure, oversight and audit trails, procurement and vendor due diligence, training and change management, and KPIs covering accuracy, review time and risk incident rate.
— How is the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course applied in real-world practice?
Teams apply it when verifying citations in an AI-drafted memorandum, checking whether a tool stores client data outside the jurisdiction, drafting an AI use policy for a legal department, supervising a junior's use of a generative tool, advising on bias in a risk scoring system, and reviewing accuracy and review time at a legal operations meeting.
Scheduling in Progress | Training Arranged Around Your Needs
Our team can coordinate this program based on available dates and locations. Contact us to explore training options that best fit your needs.
Introduction
Lawyers now work alongside systems that summarise case files, draft first versions of documents, predict outcomes, and search vast repositories in seconds. That capability raises questions the profession cannot answer with technical knowledge alone: what may be delegated to a model, what must a lawyer verify, and who answers for an error that reaches a client. This Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Training Course gives legal professionals a complete working method for those questions. Participants learn AI fundamentals, professional responsibility, verification practice, ethics, and responsible adoption strategy.
Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Course Objectives
- Apply AI fundamentals: language models, retrieval, and their limits.
- Apply professional responsibility duties to AI-assisted legal work.
- Apply competence, confidentiality, and supervision obligations correctly.
- Build verification and validation routines for AI-generated output.
- Apply legal research and drafting practice with AI support.
- Apply data protection and privilege rules to AI tools.
- Apply court rules, disclosure duties, and citation accuracy checks.
- Apply bias, fairness, and access to justice considerations.
- Design an AI adoption strategy for a legal practice or department.
- Measure performance with accuracy, review time, and risk incident rate.
Course Methodology
- Facilitated sessions built on real case files, AI output, and professional conduct rulings.
- Case workshops on hallucinated citations, privilege breaches, and disclosure failures.
- Verification, citation checking, and drafting exercises with live documents.
- Ethics scenario and adoption strategy practice labs.
- Group exercise on an AI use policy with a risk and control register.
Who Should Take This Course
- In-house counsel and law firm lawyers.
- Legal operations and knowledge managers.
- Compliance and risk officers in legal teams.
- Judges' clerks and judicial research staff.
- Legal educators and trainers.
- Bar and regulatory affairs professionals.
Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Course Outlines
AI Fundamentals for Legal Work
- • Language models, retrieval systems, and generative AI basics.
- • Capability boundaries: what models do well and poorly.
- • Hallucination, fabrication, and citation risk.
- • Legal research, summarisation, and drafting use cases.
- • Document review, e-discovery, and analytics tools.
- • Data residency, training exposure, and privacy settings.
- • Assessing a tool before putting it into practice.
Professional Responsibility and Competence
- • Duty of competence in a technology-enabled practice.
- • Confidentiality, privilege, and client data protection.
- • Supervision of juniors, staff, and automated tools.
- • Communication with clients about AI use.
- • Billing, efficiency, and value expectations.
- • Advertising, competence claims, and professional standards.
- • Cross-border practice and regulatory divergence.
Verification and Output Quality Control
- • Verification methodology for AI-generated content.
- • Citation checking, source retrieval, and authority validation.
- • Structured review and sampling protocols.
- • Drafting first versions and the human redraft process.
- • Quality assurance in document review and extraction.
- • Error logging, correction, and lessons learned.
- • Building a verification checklist for a practice group.
Ethics, Bias, and Access to Justice
- • Bias in data, models, and outputs.
- • Fairness in sentencing, risk scoring, and decision support.
- • Transparency, explainability, and the duty to understand.
- • Unauthorised practice of law and automated advice.
- • Access to justice opportunities and risks.
- • Client consent, capacity, and vulnerable clients.
- • Regulatory guidance and emerging professional rules.
Strategy, Governance, and Adoption
- • AI strategy for a legal practice or department.
- • Use policy, permitted tools, and prohibited uses.
- • Governance structure, oversight, and audit trails.
- • Procurement and vendor due diligence for legal AI.
- • Training, capability building, and change management.
- • KPIs: accuracy, review time, and risk incident rate.
- • Building a responsible AI adoption roadmap.
Conclusion
By successfully completing the Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice Training Course, participants will have acquired a thorough working knowledge of AI fundamentals for legal work, professional responsibility duties, verification and quality control, ethics and bias considerations, and AI adoption strategy and governance. They will leave able to use AI tools where they add value, verify every output to a professional standard, and adopt the technology under a policy that protects clients and the practice. Gentex Training Center delivers this programme with legal, ethics, and legal technology practitioners working in live practice.
FAQs for the Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice course
— What is the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course about?
It is a five-day programme on using artificial intelligence in legal practice safely and professionally. It covers AI fundamentals, professional responsibility and competence, verification and quality control, ethics and bias, and AI adoption strategy and governance.
— What are the key benefits of the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course?
Participants use AI tools where they genuinely reduce effort, verify every output to a professional standard instead of trusting it, and adopt the technology under a policy that protects privilege and client data. They also handle bias, disclosure, and competence duties with a documented approach.
— What skills will I gain from the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course?
You will gain AI capability assessment for legal work, professional responsibility and confidentiality management, verification and output quality control, and ethics, bias, strategy, and governance management.
— What tools, methods, or standards are covered in the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course?
The course works with language model, retrieval system and generative AI fundamentals, capability boundary assessment, hallucination, fabrication and citation risk control, legal research, summarisation and drafting use cases, document review, e-discovery and analytics tools, data residency, training exposure and privacy settings, tool assessment before adoption, the duty of competence in technology-enabled practice, confidentiality and privilege protection, supervision of juniors, staff and automated tools, client communication about AI use, billing and efficiency expectations, advertising and competence claims, cross-border regulatory divergence, verification methodology for AI-generated content, citation checking and authority validation, structured review and sampling protocols, human redraft process, quality assurance in document review and extraction, error logging and lessons learned, verification checklist design, bias in data, models and outputs, fairness in sentencing and risk scoring, transparency and explainability duties, unauthorised practice of law and automated advice, access to justice considerations, client consent and vulnerable client handling, regulatory guidance, AI use policy design, governance structure, oversight and audit trails, procurement and vendor due diligence, training and change management, and KPIs covering accuracy, review time and risk incident rate.
— How is the "Artificial Intelligence for Lawyers: Strategy, Ethics, and Legal Practice" course applied in real-world practice?
Teams apply it when verifying citations in an AI-drafted memorandum, checking whether a tool stores client data outside the jurisdiction, drafting an AI use policy for a legal department, supervising a junior's use of a generative tool, advising on bias in a risk scoring system, and reviewing accuracy and review time at a legal operations meeting.
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Frequently Asked Questions
Does Gentex provide this training course in-house training?
Yes. Gentex Training Center can deliver this course as an in-house training program for your organization. The course content, schedule, and delivery can be customized to meet your team’s specific needs and business objectives. Learn more about our In-House Training solutions.