Lawcadia unveils new intelligent engine
Matter and spend management solutions provider Lawcadia has launched a new engine for legal departments and their law firms that will drive all aspects of its platform.
Lawcadia Intelligence has been unveiled, which incorporates machine learning with business logic and no-code automation, providing a powerful engine for Lawcadia’s end-to-end operating system.
In a statement, the provider said that the new plug-in architecture “allows for rapid product development, giving customers, partners and Lawcadia’s own development team the ability to build new plugins quickly”.
Lawcadia founder and CEO Warwick Walsh said that the engine was designed to help accommodate individual needs for legal departments across the board, as well as their external firms, with support ranging from functionality and processes to integration with existing systems.
“Efficiency and control are key focuses for in-house legal teams, whilst law firms are seeking solutions that embed client relationships and add tangible value to their service offering,” he said.
“Technology is crucial to success in these areas; however, many ideas and initiatives fall over because there is too much cost and complexity in customisations and getting different systems working together or alongside each other.”
The new engine enables Lawcadia, Mr Walsh continued, to meet these different requirements without the large implementation costs, but while retaining security.
“Lawcadia Intelligence has been in development for 12 months. We are incredibly proud of our team and are excited to see where our clients can take our platform and what problems they can now solve using our technology,” he said.
Lawcadia’s initial platform release focuses on logic-based procurement, workflow and task automation, the provider said, with the intention of assisting in-house legal teams to get even greater control over spend and internal processes. Moreover, law firms will also be able to streamline and customise its client intake, helping elevate and embed key relationships.