AI Applications in General Legal Drafting, Documents, Agreements, MoUs, and Letters

Course Objectives

The objectives of this course are to;

1. Automate the creation of routine legal documents, agreements, and correspondences.
2. Apply AI in document lifecycle management, template generation, and clause libraries.
3. Integrate AI-powered translation and voice dictation into multilingual and cross-border practice.
4. Enhance accuracy, compliance, and drafting speed in general documentation.

Learning Outcomes

By the end of this course, a learner will be able to;

1. Automate drafting of contracts, MoUs, and standard letters using AI platforms.
2. Customize AI-driven clause libraries for firm-specific or institutional needs.
3. Apply AI translation and voice dictation in preparing legal texts.
4. Critically evaluate AI-generated drafts for accuracy, risk, and compliance.

Outline of Content

1. Introduction to Document Automation in Law

• • Traditional manual drafting vs. AI-enabled smart drafting.
  • Why automation matters: efficiency, consistency, and risk reduction.
  • Case studies: JPMorgan’s AI replacing 360,000 hours of contract review.

2. AI Tools for Drafting and Contract Management

• • IronClad: full digital contract lifecycle management.
  • Juro: contract drafting and team collaboration.
  • Robin AI: modular drafting, review, and risk flagging.
  • Spellbook (GPT-4 powered): contract drafting/review within Microsoft Word.
  • Comparison of strengths, weaknesses, and contexts of use.

3. Smart Drafting Templates and Automation

• • Precedent-based AI drafting.
  • Generating first drafts of contracts (NDAs, employment agreements, service contracts).
  • Customizing firm-specific clause libraries.
  • Risk identification and clause comparison.

4. AI Translation and Voice Dictation in Legal Practice

• • AI translation tools (DeepL, Google Translate, GPT-powered translation) in cross-border law.
  • Risks of mistranslation in legal documents.
  • Voice dictation tools (Dragon Legal, Microsoft Copilot, Otter.ai) for drafting memos and pleadings.
  • Practical applications for lawyers on the move.

5. Practical Lab: NDA Drafting with AI

• • Step 1: Input key details (parties, terms, jurisdiction) into an AI drafting platform.
  • Step 2: Generate an NDA using a smart template.
  • Step 3: Use AI contract analytics to highlight risks (e.g., missing confidentiality clause).
  • Step 4: Translate NDA into another language and back, evaluating accuracy.

Reference List

1. Artificial Intelligence for Law Firms. A Practical and Tactical Guide. https://info.abovethelaw.com/hubfs/Infotrack%202023%20Content%20Syndication/AI_For_Lawfirms_ebook_infotrack.pdf
2. Council of Bars and Law Societies of Europe (2022). Guide on the use of Artificial Intelligence-based tools by lawyers and law firms in the EU. https://www.ccbe.eu/fileadmin/speciality_distribution/public/documents/Events/20220331_AI4L/EN_IT_Law_2022_Guide-AI4L_web.pdf
3. Warsaw (2025). AI in the Work of an Attorney-at-Law: Recommendations on how Attorneys-at-Law should use AI-Based Tools. 1st ed. Krajowa Izba Radców Prawnych, ul. Powązkowska 15, 01–797 Warszawa.
   https://kirp.pl/wp-content/uploads/2025/05/rekomendacje-ENG-NET.pdf

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