TECHNICAL FIELD

The disclosure generally relates to the field of computer based search and recommendation systems and is particularly focused on providing search and recommendation tools for selecting attorneys.

BACKGROUND

Related art systems rely on crowdsourcing user feedback and ratings to provide a user searching for an attorney an idea of how the attorney might perform on the user's own claim. Such systems do not analyze an attorney's performance, neither absolutely nor relative to performance of other attorneys with a consideration of a variety of factors such as cost, claim type, and the like. Rather, these systems merely reflect how other users who hired these attorneys perceived the attorney's performance. Moreover, conventional search and recommendation systems cannot be applied to an attorney search and recommendation tool, as the processing of data that relate to attorney performance cannot be performed on the basis of related art ranking and scoring schemes. Further, related art systems do not evaluate attorney performance with respect to an evaluation of how an opponent attorney performed, and thus do not adjust for, e.g., attorney losses against first class attorneys, and attorney win records against historically ineffective attorneys.

