1. Executive Summary
Signetta, a digital e-signing and approval platform, partnered with Intersoft to embed AI-driven clause comparison capabilities directly into its document approval workflow. This innovation enabled real-time detection of deviations from approved contract templates, improving legal compliance, accelerating review cycles, and reducing exposure to unauthorized contractual risks. The solution marked a shift from passive signing workflows to intelligent contract governance.
2. Client Context
Signetta serves small- and medium size businesses as well as enterprise clients by streamlining digital document execution—handling everything from employee contracts to supplier contracts and customer agreements. As their user base grew, so did the diversity of documents flowing through the platform. Legal and compliance teams were increasingly concerned about:
- Inconsistent contract clauses across departments
- Risk exposure from unauthorized edits to critical terms
- Time-consuming manual reviews for template adherence
3. The Challenge
Traditional e-signature workflows treated documents as static files, lacking real-time intelligence to flag:
- Deviations from pre-approved legal language
- Omitted compliance clauses (e.g., data processing, liability, jurisdiction)
- Insertion of risk-prone terms in routine agreements
These gaps delayed approvals and increased the burden on legal teams, particularly for high-volume or templated documents.
4. Our Approach
Intersoft introduced a content-aware AI module built on large language models, tailored for contract intelligence:
- Discover: Analyzed document types, legal clause libraries, and change frequencies across key industries
- Design: Built a clause-parsing engine capable of semantically comparing document text against approved contract templates
- Deliver: Integrated the component directly into Signetta’s pre-signature workflow, with no disruption to user experience
5. The Solution
The AI component included:
- Clause Deviation Detection: Automatically flags differences from standard clauses with high precision
- Similarity Scoring: Shows how close current contract language is to the approved version
- Learning Engine: Captures feedback from reviewers to improve detection accuracy over time
6. Outcomes / Impact
- 90% of High-Risk Deviations Detected Pre-Signature
- 30% Faster Contract Review Time for legal and compliance teams
- Greater Clause Consistency across global business units
- Reduced Legal Risk Exposure from unnoticed deviations in routine agreements
7. Lessons Learned / Critical Success Factors
- Semantic Matching Over Keyword Flags: Clause meaning matters more than phrase matching in legal contexts
- Tight UX Integration Matters: Embedding clause insights into the existing signing interface boosted adoption
- Learning from Legal Teams: Continuous feedback loops with compliance staff were key to improving accuracy
8. Why Intersoft?
Intersoft’s strength in domain-trained AI for contract and regulatory language made it the ideal innovation partner for Signetta. We bridged the gap between legal compliance and operational agility—without forcing a platform redesign.
9. Next Steps / Looking Ahead
- Multilingual Clause Detection: Expanding clause comparison capabilities across EU legal languages
- Pre-Approval Routing: Automatically escalate flagged documents before they reach approvers
- Clause Risk Scoring Dashboard: Provide insights across departments on recurring risk patterns
10. Contact & Call to Action
Want to embed real-time legal intelligence into your e-signing platform? Contact Intersoft at intersoft.nl to discover how AI can transform compliance from a bottleneck into a strategic advantage.
