
Explore generative AI for legal writing by comparing models, drafting applications, and analyzing two case examples—small claims and immigration RFPs—using LaTeX, Linux, JNI, JIT, and Python.
Learn how to prompt LLMs like ChatGPT, Gemini, perplexity, and deep seek by setting specific criteria, roles, and context windows, to draft, verify, and manage large documents.
This lecture demonstrates using GenAI in LaTeX to convert and fill RFE and RFA templates, integrating uploaded client text, CVs, and on-page references for NOID responses.
Choose Ubuntu Linux for infra setup, LaTeX integration, and open source tools; it offers free, stable performance, easy Git and LaTeX installation, plus bash-based PDF management for legal professionals.
Learn to chart and perform web scraping in Python using matplotlib to create 3d charts, including timeline, heat, and radar charts, with CSV data handling and LaTeX embedding.
This course is designed for legal practitioners, including EB1A and EB2 DIY applicants, who want to harness the power of Generative AI, LaTeX, Git, Linux, and advanced prompting techniques using ChatGPT, DeepSeek, and Perplexity to modernize their workflows and significantly boost their efficiency. Whether you are drafting complex legal documents, managing large volumes of application materials, or aiming to streamline your legal research and writing processes, this course offers the tools and skills necessary to excel in today’s technology-driven legal environment.
Through hands-on exercises, practical demonstrations, and real-world examples, participants will gain the ability to:
Draft, review, and analyze legal documents with enhanced accuracy and speed using ChatGPT and other Generative AI tools, leveraging specialized prompt engineering to tailor AI outputs for legal contexts.
Format briefs, memos, petitions, and legal reports professionally and consistently with LaTeX, enabling clean, publication-ready documents that meet rigorous legal standards.
Use Git and GitHub for version control, collaborative editing, and efficient management of legal project files, ensuring transparency, organization, and easy tracking of changes.
Navigate and utilize Linux systems and command-line tools to automate repetitive legal tasks, manage large document repositories, and integrate open-source tools such as Python notebooks for data analysis and graphical visualization to support case research and presentation.
Effectively handle and organize extensive application documentation—up to 500-1000 pages—for EB1A and EB2 immigration filings, leveraging the power of these tools to maintain accuracy, consistency, and professional quality throughout complex filings.
By the end of this course, you will be equipped with a practical, integrated tech stack that not only improves your productivity but also elevates the quality of your legal writing and research. These skills will empower you to work smarter, meet the demands of modern legal practice, and position yourself at the forefront of legal innovation and technology adoption.
If you are a Paralegal working independently, this course helps you organize, automate, and enhance your work.