AI for Legal Teams is a course in using AI accurately and confidentially for legal work, from drafting and summarising documents and analysing contracts to source-checked research, client communication and contract templates. It suits lawyers, legal officers, in-house legal teams, law firms, and contract management and compliance teams.
Legal team work and contract work are full of documents and tasks demanding great detail and high accuracy: drafting and revising legal documents, reading and summarizing long contracts, researching and summarizing information, communicating with clients, and managing templates and knowledge. These tasks are time-consuming and involve especially confidential and sensitive data. Generative AI greatly reduces the time spent on document and research work, but because legal work demands very high accuracy and confidentiality, the key is using AI the right way, with verification every time and protecting data confidentiality. This course is designed to help legal teams use AI in real work confidently, safely and responsibly, covering drafting and summarizing documents, reading and
analyzing contracts, researching and summarizing information, client communication, setting up internal assistants and a knowledge base, template management, and automation with n8n, with accuracy, confidentiality, data governance and PDPA at the core of every topic. This course focuses on using AI as a tool for document, research and administrative work, not providing legal opinions or advice in place of professionals; decisions and legal opinions remain the duty and responsibility of licensed lawyers or professionals, and results must always be verified. All content is taught through workshops on simulated documents, finishing with a capstone project. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)
What you’ll gain
Understand how AI changes legal team and contract work and choose the right AI tool for each task
Design prompts for legal work and keep results accurate, referenced and traceable
Use AI to help draft and revise legal documents, letters and supporting documents
Use AI to read and summarize long contracts and documents and help flag points to check
Use AI to help research and summarize information, verifying sources every time
Use AI to help communicate with clients and explain legal matters clearly
Set up internal assistants and a knowledge base with Custom GPT/Gems and manage contract templates
Use AI to help with documents and set up automation with n8n
Understand AI limits and risks in legal work and set verification mechanisms
Set practices for confidentiality, accuracy, data governance and PDPA for legal work
Who this course is for
Lawyers, legal officers and in-house legal teams
Legal teams in law firms and legal consultancies
Contract management and compliance teams
Admin staff and legal assistants handling documents and contracts
Legal team leaders who want to set up safe AI use for their team
Prerequisites
General computer and internet skills
Basic document-software skills, such as Microsoft Word or Google Docs
Understanding of your legal or contract work or process to use as a case study during training
No AI or programming background required
Curriculum
Course Details
A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop on simulated documents with a capstone project. Beginner to Intermediate level, no AI background required. The course focuses on using AI as a tool for document, research and administrative work, not providing legal opinions in place of professionals, and results must always be verified. Learners take home a prompt library, an internal assistant (Custom GPT/Gem), document and contract templates, and a data governance framework with a review and PDPA checklist.
Day 1AI for Documents, Contracts and Research
Section 1: AI in Legal and Legal-team Work
An overview of generative AI in legal and contract work and what changes in the process
AI use cases: drafting, contract summaries, research, communication and knowledge management
Key scope: AI is a tool for document and research work, not providing legal opinions in place of professionals
AI limits and risks in legal work: hallucinated citations and data confidentiality
Section 2: Prompts and Output Control for Legal Work
A good prompt structure for legal work: role, context, data and output format
Instructing AI to reference only the provided data and show reasoning so results are traceable
Preventing hallucinated citations and setting verification every time before use
Building a team prompt library for recurring work
Section 3: Drafting and Revising Legal Documents with AI
Using AI to help draft letters, memos and supporting documents based on correct data and templates
Refining the style and structure of documents to be clear and formal
Cautions on accuracy, completeness and review by professionals
Workshop: draft or revise one document with AI plus a review mechanism
Section 4: Reading and Summarizing Contracts and Documents
Uploading and reading long contracts and documents and summarizing the key points
Helping flag points and clauses to check (in an assistive role) with a person always reviewing
Comparing documents and finding differences between versions
Workshop: summarize the key points and flag issues of a sample contract with AI
Section 5: Research and Information Summaries with AI
Using AI to help with basic research and summaries, verifying sources every time
Organizing information and preparing issue summaries for the team
Caution: AI may create data or citations that do not exist; always verify against trusted sources
Workshop: prepare an issue summary from simulated documents with AI and verify sources
Day 2Communication, Assistants, Knowledge and Automation
Section 6: Client Communication and Clear Explanation
Using AI to help draft formal communication with clients and internal units
Explaining complex legal matters and terms clearly to clients (based on correct data)
Cautions on accuracy and not giving legal opinions beyond scope
Workshop: draft one communication or explanation with AI plus review
Section 7: Internal Assistants and Legal Knowledge Base
Building a Custom GPT or Gem as an internal assistant answering questions on templates, policies and guidelines
Embedding documents and knowledge for consistent, controllable results
Approaches to limiting permissions and controlling the data the assistant can access
Workshop: build one internal assistant to answer common template and guideline questions
Section 8: Templates and Knowledge Management
Using AI to help create and improve contract templates and standard documents
Organizing knowledge and building a legal-team playbook
Managing versions and controlling document standards
Section 9: Legal-team Automation with n8n
Setting up automation with n8n, such as document-sending workflows and schedule alerts
Connecting data across internal systems safely and controllably
Confidentiality, security and access-permission cautions in automation
Workshop: design one simple automation flow for document work
Section 10: Confidentiality, Accuracy, Data Governance and PDPA
Data that must not go into AI: client confidential data, case data and confidential data
Handling data before use with AI and choosing AI services suitable for confidential data
Personal data under PDPA and a data governance framework for legal work
Setting the organization's responsible AI usage policy
Section 11: Capstone Project and Real-world Adoption
Task: set up an end-to-end AI toolkit for the learner's work within a confidentiality and governance framework, from drafting and summarizing documents and research to internal assistants and templates
Present the work and get feedback from the instructor and peers
A first-30-days adoption plan and setting up safe AI use for the whole team
Schedule & training options
For individuals — public rounds
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
How do you use AI to summarise a contract and flag points to review?
Upload the contract to an AI tool your organisation has approved and ask for a summary under headings such as parties, scope, term, payment, termination, liability and dispute resolution, citing the clause number for each point. Then ask it to flag one-sided, missing or non-standard clauses compared with your own template. The output is a starting point for a lawyer's review, not legal advice.
How do you stop AI citing laws or court decisions that do not exist?
This is known as hallucination, and it can happen with any language model. Reduce the risk by giving the AI the source documents yourself and telling it to answer only from them, to cite the section or case number and source every time, and to say so when it cannot find something. Then verify every citation against an official legal database or document before relying on it. This course practises keeping AI output traceable and verifiable.
How can legal teams use AI safely with confidential client documents?
Start with a data governance policy that sets which tools may handle which classes of data. Use business accounts that do not train models on your data and have access controls, remove names, ID numbers and other details that identify the client before sending anything to AI, and keep a record of which documents were processed, so you protect professional confidentiality and comply with PDPA.
Who is the AI for Legal Teams course for, and what should I know beforehand?
It suits lawyers, legal officers and in-house legal teams, law firm staff, contract management and compliance teams, and legal assistants who handle documents and contracts. No AI or programming knowledge is needed. You should be able to use a computer and the internet, work with Microsoft Word or Google Docs at a basic level, and understand your own team's legal or contract workflow.
What will I be able to do after the AI for Legal Teams course?
You will be able to use AI to draft and revise legal documents and letters, summarise contracts and flag issues, research with every source checked, explain legal matters clearly to clients, set up an internal assistant and knowledge base in Custom GPT or Gems, manage contract templates, and put a data governance and PDPA framework in place. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Can the AI for Legal Teams course be run in-house for our team?
Yes. It can be run in-house for your legal department or firm, with examples adapted to your work, such as simulated documents modelled on the contracts your team actually uses. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
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