Managed Services
Managed services is a broad category covering non-legal, operational support functions for law firms and in-house departments, delivered on an outsourced or co-sourced basis rather than staffed internally. Providers take on ongoing operational responsibility for functions such as billing and financial administration, spend and invoice management, corporate governance and entity compliance administration, records and information management, and IT infrastructure support, combining dedicated delivery teams with standardized processes and workflow or analytics platforms to run these functions at scale. Engagements are typically structured as long-term operational partnerships rather than one-off projects, with providers embedding staff, tools, and reporting into the client's existing systems and taking on defined service levels and performance metrics. This model allows law firms and legal departments to access specialized operational expertise and flexible capacity without carrying the fixed cost and management burden of dedicated internal staff, while gaining visibility into cost, volume, and performance trends through centralized reporting. Generative AI has expanded this category considerably, with providers layering AI-powered invoice review, spend analytics, contract and matter data extraction, and workflow automation on top of human teams to reduce manual processing time, surface savings opportunities, and increase the volume of routine operational work a given team can support.
Managed services is a broad category covering non-legal, operational support functions for law firms and in-house departments, delivered on an outsourced or co-sourced basis rather than staffed internally. Providers take on ongoing operational responsibility for functions such as billing and financial administration, spend and invoice management, corporate governance and entity compliance administration, records and information management, and IT infrastructure support, combining dedicated delivery teams with standardized processes and workflow or analytics platforms to run these functions at scale. Engagements are typically structured as long-term operational partnerships rather than one-off projects, with providers embedding staff, tools, and reporting into the client's existing systems and taking on defined service levels and performance metrics. This model allows law firms and legal departments to access specialized operational expertise and flexible capacity without carrying the fixed cost and management burden of dedicated internal staff, while gaining visibility into cost, volume, and performance trends through centralized reporting. Generative AI has expanded this category considerably, with providers layering AI-powered invoice review, spend analytics, contract and matter data extraction, and workflow automation on top of human teams to reduce manual processing time, surface savings opportunities, and increase the volume of routine operational work a given team can support.
Loading...