Method and system for aggregating data from various sources and forwarding it to end users
OwnerEdward Appel, Thomas Masciocchiinventors
Life of this patent
Estimating the term…
Abstract
A method and system for aggregating data from various sources that compiles data from public institutions, parses it according to system-defined and user-defined criteria, and transmits it to end users in a time sensitive manner. The data can be violations data, hearing data, and judgment data, and the data is transmitted to end user sellers of legal services in a timeframe during which the person to whom the violation, hearing, or judgment pertains would be in the market for legal counsel.
Claims56
A method of compiling and distributing time-sensitive data comprising a plurality of records from an independent source, the method comprising the steps of:
- receiving said time-sensitive data;
- uploading said data to a server;
- filtering said data to remove a portion of said plurality of records based on specified parameters to create a filtered data set;
- and
- making said filtered data set available to at least one customer during a selected time period.
A method of compiling and distributing time sensitive data from a government data system comprising the steps of:
- receiving violations data from said government data system, the violations data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, violation date, and individual age information;
- creating a final data set comprising the steps of:
- searching the violations data to identify a duplicate record;
- if a duplicate record is identified, removing said duplicate record from the violations data;
- searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- if the age is less than the predetermined age, removing said at least one record from the violations data;
- identifying a non-desirable violation;
- searching the violation data to identify records where said violation type equals the non-desirable violation;
- and
- if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the violations data.
A method of compiling and distributing time sensitive data from a government data system comprising the steps of:
- receiving hearing data from said government data system, the hearing data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, hearing date, and individual age information;
- creating a final data set comprising the steps of:
- searching the hearing data to identify a duplicate record;
- if a duplicate record is identified, removing said duplicate record from the hearing data;
- searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- if the age is less than the predetermined age, removing said at least one record from the hearing data;
- identifying a non-desirable violation;
- searching the hearing data to identify records where said violation type equals the non-desirable violation;
- and
- if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the hearing data.
A method of compiling and distributing time sensitive data from a government data system comprising the steps of:
- receiving judgment data from said government data system, the judgment data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, judgment date, and individual age information;
- creating a final data set comprising the steps of:
- searching the judgment data to identify a duplicate record;
- if a duplicate record is identified, removing said duplicate record from the judgment data;
- searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- if the age is less than the predetermined age, removing said at least one record from the judgment data;
- identifying a non-desirable violation;
- searching the judgment data to identify records where said violation type equals the non-desirable violation;
- and
- if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the judgment data.
A computer system of compiling and distributing time sensitive data from a government data system, said computer system comprising a server, wherein said server comprises:
- hardware and software for receiving violations data from said government data system, the violations data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, violation date, and individual age information;
- software for creating a final data set comprising:
- software for searching the violations data to identify a duplicate record;
- and if a duplicate record is identified, removing said duplicate record from the violations data;
- software for searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- and if the age is less than the predetermined age, removing said at least one record from the violations data;
- and
- software for identifying a non-desirable violation, searching the violation data to identify records where said violation type equals the non-desirable violation;
- and if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the violations data.
A computer system of compiling and distributing time sensitive data from a government data system, said computer system comprising a server, wherein said server comprises:
- hardware and software for receiving hearing data from said government data system, the hearing data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, hearing date, and individual age information;
- software for creating a final data set comprising:
- software for searching the hearing data to identify a duplicate record;
- and if a duplicate record is identified, removing said duplicate record from the hearing data;
- software for searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- and if the age is less than the predetermined age, removing said at least one record from the hearing data;
- and
- software for identifying a non-desirable violation, searching the violation data to identify records where said violation type equals the non-desirable violation;
- and if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the hearing data.
A computer system of compiling and distributing time sensitive data from a government data system, said computer system comprising a server, wherein said server comprises:
- hardware and software for receiving judgment data from said government data system, the judgment data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, judgment date, and individual age information;
- software for creating a final data set comprising:
- software for searching the judgment data to identify a duplicate record;
- and if a duplicate record is identified, removing said duplicate record from the judgment data;
- software for searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- and if the age is less than the predetermined age, removing said at least one record from the judgment data;
- and
- software for identifying a non-desirable violation, searching the violation data to identify records where said violation type equals the non-desirable violation;
- and if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the judgment data.
A computer readable medium comprising data compiled using a method of compiling and distributing time sensitive data from a government data system, said method comprising the steps of:
- receiving violations data from said government data system, the violations data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, violation date, and individual age information;
- creating a final data set comprising the steps of:
- searching the violations data to identify a duplicate record;
- if a duplicate record is identified, removing said duplicate record from the violations data;
- searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- if the age is less than the predetermined age, removing said at least one record from the violations data;
- identifying a non-desirable violation;
- searching the violation data to identify records where said violation type equals the non-desirable violation;
- and
- if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the violations data.
A computer readable medium comprising data compiled using a method of compiling and distributing time sensitive data from a government data system, said method comprising the steps of:
- receiving hearing data from said government data system, the hearing data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, hearing date, and individual age information;
- creating a final data set comprising the steps of:
- searching the hearing data to identify a duplicate record;
- if a duplicate record is identified, removing said duplicate record from the hearing data;
- searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- if the age is less than the predetermined age, removing said at least one record from the hearing data;
- identifying a non-desirable violation;
- searching the hearing data to identify records where said violation type equals the non-desirable violation;
- and
- if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the hearing data.
A computer readable medium comprising data compiled using a method of compiling and distributing time sensitive data from a government data system, said method comprising the steps of:
- receiving judgment data from said government data system, the judgment data comprising at least one record for an individual, the at least one record having a plurality of data fields comprising a name, an address, a violation type, judgment date, and individual age information;
- creating a final data set comprising the steps of:
- searching the judgment data to identify a duplicate record;
- if a duplicate record is identified, removing said duplicate record from the judgment data;
- searching the individual age information of the at least one record to identify whether an age of said individual is less than a pre-determined age;
- if the age is less than the predetermined age, removing said at least one record from the judgment data;
- identifying a non-desirable violation;
- searching the judgment data to identify records where said violation type equals the non-desirable violation;
- and
- if the violation type equals the non-desirable violation, removing said record having the non-desirable violation from the judgment data.
Dependencies are inferred from the claim text.