Udemy - Generative Ai For Contracting and Legal Drafting

Category: Other
Type: Tutorials
Language: English
Total Size: 311.1 MB
Uploaded By: freecoursewb
Downloads: 188
Last checked: Jul. 24th '25
Date uploaded: Jul. 24th '25
Seeders: 8
Leechers: 2
MAGNET DOWNLOAD
INFO HASH: 405D8069CF70AD0E7188E4D90C408F05C79E6A79

Generative Ai For Contracting & Legal Drafting

https://WebToolTip.com

Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 311.11 MB | Duration: 2h 9m

1000+ Prompts Generative AI for Lawyers- Contracting and Legal Drafting, Transactional Efficiency

What you'll learn
How Generative AI and LLMs work in the context of law, contracts, and compliance.
Accessing and applying 1000+ legal prompts for immediate operational use.
Key stages of the Contract Lifecycle Management (CLM) process where AI can be embedded.
How to design effective prompts for legal drafting—covering instructional and analytical formats.
Techniques for zero-shot, one-shot, and few-shot prompting tailored to legal tasks.
How to generate clauses, recitals, definitions, and representations using reusable prompt templates.
Building and managing clause libraries for NDAs, employment, procurement, and SaaS contracts.
Localizing legal content to jurisdiction-specific laws using AI-enhanced localization prompts.
Redlining automation and clause comparison using AI-based pattern recognition.
Detecting risky clauses, deviation from standards, and potential liability triggers automatically.
Drafting audit logs, version notes, LOIs, and post-deal obligations using structured AI prompts.
Using Retrieval-Augmented Generation (RAG) to pull from legal databases and precedents.
Embedding jurisdictional law references, court rulings, and compliance obligations into AI outputs.
Creating smart checklists for M&A, licensing, and vendor agreements.
Predicting litigation risk based on language, clause combinations, and historical outcomes.
Generating negotiation points, fallback clauses, and counteroffers based on prior deal data.
Managing citations, case summaries, and legal interpretations within AI outputs.

Requirements
Basic understanding of contract law
General computer literacy
Curiosity to experiment with AI outputs