By using artificial intelligence (AI) and machine learning, contracts can be reviewed more efficiently, accurately and cost-effectively. This technology enables companies to identify potential risks at an early stage, ensure compliance and optimize contract management. At a time when speed and accuracy are critical, automated contract review offers a forward-looking solution to the challenges of modern contract management.
How does automated contract checking work?
Modern ECM software with contract review automatically searches and analyses contracts for key terms, clauses and potential risks. The following technologies are used for this:
- Natural Language Processing (NLP) – recognizing and interpreting contract texts.
- Artificial intelligence (AI) – identification of critical contract components and comparison with company guidelines.
- Rule-based analyses – automatic comparison with legal requirements and company standards
Technologies of this type are often used in contract management or contract lifecycle management.
What are the benefits of automated contract reviews?
- Time savings – Contracts are analyzed in seconds instead of being checked manually.
- Error minimization – Reduces risks through automated detection of critical clauses.
- Compliance security – Ensures compliance with legal regulations (e.g. GDPR, Supply Chain Act).
- Seamless integration – Link with ECM systems, document management and workflows.
- Cost reduction – Reduces the workload for legal departments and minimizes contract risks.
contract checking in ECM systems
In Enterprise Content Management (ECM) systems, automated contract analysis ensures structured, legally compliant management of contract documents. Intelligent workflow automation optimizes review processes and speeds up approvals.
Automated contract review enables companies to analyse contracts faster, more accurately and in compliance with the law. Integration into ECM software allows contracts to be managed efficiently, risks to be minimised and business processes to be optimized.