Legal process automation: Enabled by relational data – find out more with Autologyx
In part one of this series we discussed the importance and benefits of relational data in business process automation, but how do these generic benefits translate to our legal clients and their requirements. So here is a more detailed view of the benefits of the use of relational data structures within your technology solutions for legal use cases.
Complex relationships
Managing legal work often involves complex relationships among multiple entities like individuals, corporations, and government bodies. Let alone the relationships between documents like contracts, laws, or case precedents. Relational databases excel at representing these complex relationships, making it easier to keep track of how everything is related.
Dynamic data
Laws and regulations can change over time, and new cases can set new precedents. Relational databases allow for easier updating and modification of records, enabling legal databases to stay current with minimal disruption to the existing data.
Complex vs volume work
Often automation efforts in legal have focused on work types that are high volume and low in complexity however the nature of relational data structures allows for the benefits of process automation to be leveraged in more complex, lower volume work
Accuracy and consistency
Legal work requires a high degree of accuracy. Mistakes can lead to negative outcomes for clients or even legal consequences. Since relational databases have mechanisms to avoid redundancy and inconsistency (unlike flat-file databases), they can help maintain data accuracy and consistency.
Integration with other systems
Legal process automation often involves integrating various software applications or tools to streamline workflows. Relational databases provide a standardised framework for data storage and exchange, facilitating seamless integration with other systems.
Auditability
Legal is a highly regulated industry and as such it is often important to have a clear record of actions taken, documents submitted, changes made, etc. for auditing purposes. The structure of relational databases can help in maintaining a well-organised, easily traceable record of all actions and documents pertaining to legal work of all kind.
In essence, the way relational data structures handle data makes them a valuable tool for legal process automation. They can significantly streamline the management of legal information, making legal processes more efficient and reliable.
