Current industry practices for handling legal documentation related to derivatives transactions are predominantly manual. Legal and operational support teams are burdened with the task of manually extracting data from these documents to populate various system platforms. This fragmentation of data processing leads to:

• Inefficiencies: The manual process is slow and labor-intensive, diverting valuable resources from strategic activities.
• Increased Error Rate: Manual data entry significantly increases the risk of errors, which can have severe legal and financial implications.
• Cost Inefficiencies: Prolonged processing times and potential for error lead to higher operational costs.
• Scalability Issues: As transaction volumes grow, the manual systems do not scale efficiently, compounding the existing challenges.