# How GitHub's Legal Team Transformed Workflows with Copilot CLI

Lawyers doubled their efficiency by building custom AI tools without coding expertise

- **Source:** [The GitHub Blog](https://brifing.si/source/9783c41a-41dd-45e0-8c71-c0930937342d)
- **Published:** 2026-08-04
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://github.blog/ai-and-ml/github-copilot/how-the-github-legal-team-used-copilot-cli-to-streamline-their-workflows/>
- **On Brifing:** https://brifing.si/s/30f3c984-d308-431a-b948-7450566ae92f

## Overcoming the Technical Skills Barrier

GitHub's legal team consisted of attorneys, program managers, and business professionals who initially doubted their ability to build technical tools. The repetitive nature of contract reviews and standard legal inquiries made AI solutions necessary. Copilot CLI's plain language interface allowed them to automate workflows without writing code, transforming 'I can't code' into 'I just built something useful' across the entire team.

## Contract Drafting Tool Cuts Work in Half

Ngandu Kasuku, Principal Product Counsel, developed 'terms-ai' to handle complex partnership agreements involving data and infrastructure. By creating a centralized repository for approved documents and implementing a plain-language style guide (rejecting archaic terms like 'heretofore'), he reduced contract review and drafting time by 50%. The tool maintained consistency across agreements while preserving legal professionals' preferred drafting style.

## No-Code Legal Workflow Automation

Jesse Geraci built a DMCA (Digital Millennium Copyright Act) analysis tool starting with simple code comparisons and license checks. What began as GitHub Copilot instructions evolved into a comprehensive desktop application handling contract reviews, NDA triage, and risk assessments. Remarkably, the core workflow configurations remained editable in Markdown, allowing legal teams to maintain control without traditional programming skills.

## Human-Centric AI Implementation

The GitHub team designed AI tools to enhance rather than replace legal judgment. Their DMCA analyzer provided quick outputs for clients while offering deeper analysis options for attorneys. This approach accelerated processes while keeping critical decisions in human hands. The tools served as structured decision-support systems, with workflows that mirrored and augmented existing legal reasoning processes.

## Open Source Collaboration Model

While keeping sensitive legal documents secure, the team open-sourced tool frameworks and general workflows. This enabled cross-team collaboration and customization without compromising confidentiality. The model fostered innovation as team members built upon each other's creations, demonstrating how open-source principles could benefit non-technical domains like legal practice.

## Digital Transformation in Legal Sector

GitHub's experience highlights a major shift in the traditionally tech-averse legal industry. While only 35% of law firms used AI in 2023, GitHub's legal team achieved 100% efficiency gains through automation. This transformation allows attorneys to focus on strategic work while AI handles repetitive tasks. The trend is reshaping legal education, with technology skills becoming as vital as traditional legal training.

## The New AI Literacy

GitHub's case proves that non-technical professionals can develop powerful AI tools when they can clearly define methodologies and output formats. Lawyers' language skills proved perfectly suited to Copilot CLI's plain-text commands, showing that AI literacy requires systematic thinking more than coding expertise. Forward-thinking companies are now investing in these analytical skills across all roles.

## Future of Legal Tech Innovation

GitHub's legal team demonstrates that AI tools will become permanent fixtures in legal practice. Gartner predicts 60% of law firms will use AI contract analysis tools by 2025. However, the real transformation lies in shifting from off-the-shelf solutions to customizable tools tailored to specific needs. GitHub's 'build-your-own' approach may define the next wave of legal technology adoption across the industry.

## Sources covering this story

- https://github.blog/ai-and-ml/github-copilot/how-the-github-legal-team-used-copilot-cli-to-streamline-their-workflows/ — 

---

_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._