Yes. Our Robotics Subscriptions use UiPath technology, the best software for Citrix and Virtualised client environments. T-Impact have implemented numerous Robotic solutions in both Virtualised and Citrix environments.

Yes. There are no compatibility issues with any CRM, Case management or Practice Management systems as robots simply take the place of the human user. No processes are affected.  

While every law firms has their own personalised approach to clients, many of the tasks performed are the same. In reality, every law firm has to add data to CRM, Case management, Practice Management and accounts packages, as well as send invoices, wills, forms and letters to clients. Robots can automate many of these repetitive tasks, freeing time for your staff to offer a more personalised experience for your customers.

Robots leverage the IT systems that you have in place. They are not designed to be a replacement for API’s or IT systems but rather take tedious work off your staff.

If you are planning to build an API between IT systems, there are some scenarios where it might be better & cheaper to use a Robot to transfer data. APIs can be costly and time-consuming to develop and maintain. As soon as an API is written, software vendors release an update and the API often needs to be rewritten. Robots can often be deployed in weeks and cost much less than traditional development. They also have an element of AI which can adapt to some changes in IT systems, without required development.  

Quite often these two terms are mixed up and sometimes intertwined. Artificial Intelligence is a broad definition that encompasses many specialist fields. One of these is Robotics. Robotics Process Automation (RPA) refers specifically to software Robots that perform work normally performed by humans. To add to the confusion, Robots incorporate some elements of machine learning within them, allowing them to learn and adapt. They also have pre-built integration into most advanced AI platforms, which allow them to make complex decisions and to learn from the data they process (machine learning).  The most common platforms include Microsoft AI, IBM Watson & Google Deepmind.