The patent system is a valuable source of information. Millions of patents have been issued and data contained in them is not represented in any other form. However, the usage of these data is not optimal. We believe that contextual data can be very useful in understanding better and using more patent data. This paper reports on developed algorithms, methods and obtained the results in matching patent data with contextual data. Such analytics increases the efficiency of solving patent-related tasks. We process and analyze vast amount of data which contains experts' opinions to accomplish this task.