Unified system to retrieve and display law firm analytic data in response to natural language queries
Perkins Coie LLP
A system and methods are described for retrieving, displaying, and/or analyzing law firm analytic data in response to natural language queries. The system, at an interface or bot, receives queries as plaintext messages requesting information about or maintained by a law firm. The system generates intent scores for the message for each of multiple intents and determines an intent for the message based on a highest generated score exceeding a threshold. The system extracts entities from the message, applies an algorithm to the determined intent and extracted entities, and identifies a data source from which to retrieve information. The system then retrieves and displays information from the identified data source.
1ClaimsFirst of 14
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A computer-implemented method for retrieving and displaying law firm analytic data for analysis in response to plaintext queries, the method comprising: receiving, at a graphical user interface (GUI) and input by a user, a natural language plaintext message comprising a request for one or more pieces of information about or maintained by a law firm; analyzing the received message for at least one variable, wherein the at least one variable includes a key word or phrase in the received message…
2Description
Modern law firms generate large amounts of data. Law firm data may relate to, for example, clients, attorneys, practice groups and subgroups, office locations, and so forth. Law firms rely on this data for practice management, attorney and staff evaluations, client relations, marketing, business development, financial planning, and other purposes. For example, an attorney may consult timekeeping…