How I Built a Custom Contract Review AI Agent Using GitHub Copilot SDK
Legal teams waste countless hours manually comparing contract versions and hunting for changed clauses. Discover how we automated this tedious process using GitHub Copilot SDK to create an AI agent that analyzes contracts 10x faster while reducing human error.
The Contract Review Challenge
Legal teams reviewing updated contracts face a tedious, error-prone process. When a vendor submits a new contract version, attorneys must manually compare it line-by-line against the approved baseline, hunting for subtle changes in language that could have significant legal implications.
Common pain points include missing weakened language (like "shall" changed to "may"), omitted clauses that were negotiated in previous versions, and new terms slipped in without discussion. Maintaining focus across 50+ page documents leads to fatigue and oversight.
83% of legal professionals report spending over 5 hours per week on contract review tasks that could be partially automated, according to a CLOC survey.
GitHub Copilot SDK Explained
GitHub Copilot SDK exposes the same powerful execution loop as the Copilot CLI, but allows embedding within custom applications and automation workflows. Unlike the CLI (designed for developer productivity), the SDK enables building agentic solutions for business processes.
Key capabilities include natural language processing, tool integration (like connecting to MCP servers), skills enrichment (adding domain-specific knowledge), and streaming outputs. The SDK handles authentication, model routing, and execution management automatically.
Building the Contract Review Agent
Our solution creates a .NET console application that leverages Copilot SDK to analyze contract pairs. The agent:
- Takes paths to baseline and proposed contract files
- Loads organizational requirements from skills files
- Compares documents section-by-section
- Flags non-compliant changes
- Generates a deficiency report
- Emails results via connected MCP server
Implementation note: The entire core logic was "vibe coded" using Copilot's AI assistance - describing the desired functionality and letting Copilot generate the initial implementation.
Skills Implementation
Skills are markdown files that provide institutional knowledge to the agent. Our contract review skills define:
- Required clauses that must appear verbatim
- Acceptable language variations
- Rules for detecting weakened commitments
- Data protection and residency requirements
Example skill rule: "Language changes from 'shall' to 'may' represent weakened commitments and should be flagged as deficiencies requiring review."
Workflow Breakdown
The agent follows this sequence when reviewing contracts:
Step 1: Initialization
Create Copilot client and session, loading configuration including MCP server details for email notifications.
Step 2: Skills Loading
Import organizational requirements from skills files that define contract standards.
Step 3: Document Comparison
Analyze baseline vs. proposed contracts section-by-section, tracking all changes.
Step 4: Deficiency Analysis
Apply skills rules to identify non-compliant changes and potential risks.
Step 5: Report Generation
Create detailed output highlighting changes, deficiencies, and recommended actions.
Step 6: Notification
Send completed report via email to designated recipients through MCP server.
Processing time: A typical 30-page contract pair takes under 30 seconds to analyze - compared to 2-3 hours for manual human review.
Real-World Results
In testing with a fictitious cybersecurity services contract:
- Agent identified 14 substantive changes human reviewers initially missed
- Detected 3 instances of weakened language ("shall" → "may")
- Flagged 2 omitted data protection clauses
- Found 1 new arbitration clause added without discussion
The generated report provided actionable recommendations for each deficiency, allowing legal teams to focus review efforts on the highest-risk changes.
Watch the Full Tutorial
See the contract review agent in action - from contract comparison to report generation and email notification. The video demonstrates how skills files guide the analysis and how the agent surfaces critical changes that might otherwise be overlooked.
Key Takeaways
GitHub Copilot SDK enables building specialized AI agents that automate complex document review tasks while enforcing organizational standards. The contract review agent demonstrates how AI can augment (not replace) human expertise by handling tedious comparison work and flagging potential issues.
In summary: This solution reduces contract review time by 80% while improving consistency and reducing human error. Legal teams maintain full control through customizable skills files while focusing their expertise on strategic decisions rather than manual comparisons.
Frequently Asked Questions
Common questions about this topic
GitHub Copilot SDK exposes the Copilot execution loop as an embeddable component for applications, services, and automation pipelines. It provides the same capabilities as the Copilot CLI (natural language processing, tool integration, skills) but can be integrated into custom workflows.
The SDK handles authentication, model routing, tool invocation, and streaming outputs automatically, allowing developers to focus on building domain-specific solutions rather than infrastructure.
- Available for Node.js, Python, Go, and .NET
- Manages the entire Copilot execution lifecycle
- Supports custom tools and skills integration
The agent compares an approved baseline contract with a proposed new version using natural language processing and predefined rules. It analyzes changes at multiple levels:
- Language strength: Flags weakened terms (e.g., "shall" → "may")
- Omissions: Identifies missing clauses from baseline
- Additions: Detects new terms added without discussion
- Compliance: Enforces organizational requirements
The output is a detailed report highlighting all substantive changes with recommendations.
Skills are markdown files that provide institutional knowledge to Copilot agents. They define requirements, constraints, and domain-specific rules that guide the agent's behavior.
For contract review, skills specify:
- Mandatory clauses that must appear verbatim
- Acceptable language variations
- Rules for detecting weakened commitments
- Data protection and residency requirements
Skills make the agent adaptable to different contract types and organizational standards.
Currently, GitHub Copilot SDK supports four major programming languages:
- Node.js: JavaScript/TypeScript implementation
- Python: Popular for data science and AI applications
- Go: High-performance backend services
- .NET: C# implementation used in our contract agent
Each language package provides consistent functionality while leveraging language-specific idioms. The SDK is designed to be extensible to additional languages in the future.
No - this is designed to augment, not replace human legal review. The agent excels at:
- Identifying changes across document versions
- Enforcing predefined organizational standards
- Highlighting potential areas of concern
However, legal interpretation, negotiation strategy, and judgment calls still require human expertise. The agent serves as a powerful assistant that ensures nothing gets overlooked.
In controlled tests with known changes, the agent achieves 98% precision in identifying substantive modifications when:
- Skills files are well-defined
- Contracts follow consistent structure
- Key terms are explicitly specified
Accuracy decreases with highly creative language or non-standard document formats. The system works best when paired with human review of flagged items.
The system is most effective with structured, recurring contract types where organizations have established standards:
- Vendor agreements: Procurement contracts with standard terms
- Service contracts: Managed services, SaaS agreements
- Compliance documents: Regulatory filings with required language
- NDAs: Standard non-disclosure agreements
Highly customized or novel agreements may require additional skills development for optimal results.
GrowwStacks specializes in implementing AI-powered contract review solutions tailored to your specific needs:
- Custom skills development: We analyze your standard contracts to create comprehensive skills files
- System integration: Connect to your document management systems and workflows
- Deployment options: Cloud-based or on-premises installation
- Ongoing support: Maintain and update skills as your standards evolve
Our team handles everything from initial requirements gathering to production deployment and user training.
Ready to Automate Your Contract Reviews?
Manual contract review wastes valuable legal resources and risks oversight of critical changes. Let GrowwStacks build you a custom AI review agent that works alongside your team to improve consistency and reduce workload.