5. An information retrieval system comprising: at least one processor and memory implemented at least partially by hardware; a first set of data sources including one or more of a case law database and a statutes database; a second set of the data sources including attorney profiles and one or more of court proceedings, government documents, news reports, corporate documents, and legal publications; wherein the at least one processor and memory is configured by the information retrieval system for: extracting attorney information from the first set of the data sources and the second set of the data sources, wherein the extracted attorney information corresponds to a legal issue associated with content currently being presented to a user, wherein the content currently being presented is not created by the user; calculating a legal experience indicator for a specific attorney based at least in part on a count of a number of electronic files in the first set of the data sources and the second set of the data sources that include the specific attorney; and associating the legal experience indicator with a legal context, not defined by the user, specifying whether the legal issue is one of a local issue, a state issue, and a federal issue, wherein a jurisdictional scope of the local issue is narrower than a jurisdictional scope of the state issue, and the count of the number of electronic files is deemphasized based on an age associated with each of the electronic files so that recent experience is weighted more heavily than past experience.
5. An information retrieval system comprising: at least one processor and memory implemented at least partially by hardware; a first set of data sources including one or more of a case law database and a statutes database; a second set of the data sources including attorney profiles and one or more of court proceedings, government documents, news reports, corporate documents, and legal publications; wherein the at least one processor and memory is configured by the information retrieval system for: extracting attorney information from the first set of the data sources and the second set of the data sources, wherein the extracted attorney information corresponds to a legal issue associated with content currently being presented to a user, wherein the content currently being presented is not created by the user; calculating a legal experience indicator for a specific attorney based at least in part on a count of a number of electronic files in the first set of the data sources and the second set of the data sources that include the specific attorney; and associating the legal experience indicator with a legal context, not defined by the user, specifying whether the legal issue is one of a local issue, a state issue, and a federal issue, wherein a jurisdictional scope of the local issue is narrower than a jurisdictional scope of the state issue, and the count of the number of electronic files is deemphasized based on an age associated with each of the electronic files so that recent experience is weighted more heavily than past experience. 7. The information retrieval system of claim 5 , wherein the second set of the data sources includes at least one of the following types of content: federal court dockets, mergers and acquisition documents, jury verdicts and settlements, court proceeding documents, patents, trademark registrations, copyright registrations, U.S. Securities and Exchange Commission filings, federal administrative decisions, federal court statistics, state court statistics, press releases, web site content, state dockets, state attorney general opinions, state administrative decisions, corporate filings and registrations, federal and state court briefs, federal and state pleadings and motions, law review articles, bar journals, and continuing legal education information.