The legal industry is gradually catching up with the fast paced technology changes, where lawyers, law firms and in-house legal counsels are beginning to adopt automated systems to simplify redundant or complex tasks, saving billable hours and increasing efficiency. Competing in today’s market is a combination of intelligence and speed, wherein emerging technologies can help firms set them apart in the competitor field. Robotic Process Automation (RPA) can augment capabilities, improving productivity and efficiency for the software systems used for e-discovery, Data Storage, Email Management, Human resources, IP Practice software, Billing etc.
Understanding choices and learning how to best use existing systems will add to client experience and focus on financial performance. Only 58.5% of law firms budget technology expenses, but with new age technologies, this stands to change.
Integrated systems will help to ease and speed up processes.
Cloud data storage has been on the rise to aid in collaborative work, alongside associated concerns regarding security.
Encryption is rare, but essential for integrated systems. Confidentiality of data demands a stringent approach.
Majority of legal firms spend too much time on pre-bills and invoicing which can be automated efficiently.
RPA BOTs run as allocated resources on local servers and have minimal impact on underlying infrastructure, RPA tools can operate as an extension of existing management systems.
Foreign filing license process, billing systems, and other productivity applications can be automated by implementing RPA BOTs.
In terms of unit cost, a robotic process automation solution can process an IP Filing for as little as $1.25.
RPA BOTs cannot store any data and use secure encrypted credentials for accessing any existing tools.
There are many activities which can bring higher efficiency to processes.
RPA technology is built with the aim to understand how humans perform tasks, in order to learn how to speed up and enhance performance.
Complex applications can also be built where research capabilities are built into the system for faster data retrieval and analysis.