Private AI

A global outstaffing provider needed to ensure that information in contracts and agreements aligned with internal policies, job requirements, and client-specific terms. The verification process relied on manual checks across multiple internal systems and documents, making it time-consuming and error-prone.

We developed an on-premise AI-powered solution to automate this review process. The tool cross-references key details in contracts against internal knowledge sources — such as job descriptions, compliance guidelines, and client agreements — and flags any inconsistencies for legal and operational teams directly in the working documents as comments. This streamlined the verification workflow, reduced risk, and accelerated contract turnaround times. It also integrates seamlessly with the client’s internal communication channels for streamlined collaboration.

As the outstaffing provider scaled, ensuring that contract details matched internal knowledge — such as job descriptions, rate cards, compliance rules, and client-specific terms — became increasingly difficult. This verification process was manual, time-consuming, and prone to error.

Key information was spread across disconnected systems, forcing legal reviewers to chase down the latest inputs for each contract. Mistakes or oversights introduced legal and operational risks, and the lack of consistency and traceability slowed down onboarding and contract finalization.

The client needed a scalable solution to automatically verify contracts against trusted internal sources, highlight inconsistencies, and support faster, more reliable decision-making.

We built a custom AI system that performs contract reviews in accordance with internal rules and runs completely on the client’s own servers, keeping everything private and secure. At the core, we used the n8n workflow automation platform.

Here’s how it works

The AI was trained using the company’s internal guidelines and templates.
When new information is added to a contract, the AI checks it for consistency, relevance, and alignment with company policies.
If there are any issues, the AI adds comments directly in the document, just like a human reviewer would do.
It works with the client’s existing tools (like email or chat), so the workflow stays smooth.

Timeline

• 2 weeks to build and train the AI
• 1 week for testing
• 1 week for fine-tuning based on feedback

End Result

A fully automated contract review process that’s 90% faster than doing it manually.