Abstract:
To facilitate legal research, companies, such as Thomson West provide subscription-based (pay-for-access) online information-retrieval systems. Seeking to improve these and related systems, the present inventors recognized researchers often need to access open web content that is outside their subscription-based system. Accordingly, the present inventors devised systems, methods, and software that automatically search for and identify open web documents in response to queries within the subscription-based system and/or automatically search for and identify pay-for-access content in response to receiving open web queries.

Description:
[0001]     CROSS-REFERENCE TO RELATED APPLICATIONS  
         [0002]     This application claims priority to U.S. provisional application 60/687,124 filed on Jun. 3, 2005. The provisional application is incorporated herein by reference. 
     
    
     TECHNICAL FIELD  
       [0003]     Various embodiments of the present invention concern information-retrieval systems, such as those that provide legal documents or other related content.  
       BACKGROUND  
       [0004]     Judges and lawyers within the American legal system as well as some other countries around the world are continually researching an ever-expanding body of past opinions, or case law, for the ones most relevant to resolution of disputes. To facilitate these searches, West Publishing Company of St. Paul, Minn. (doing business as Thomson West) collects judicial opinions from courts across the United States, and makes them available electronically through its Westlaw™ pay-for-access research system. (Westlaw is a trademark of Thomson West.)  
         [0005]     One problem the present inventors recognized with the highly successful Westlaw system is that their users also access open web content, such as blogs and law-firm websites, that is relevant to their work. However, accessing this open (free) web content conventionally requires users to leave the professionally oriented Westlaw search interface to an advertising-based consumer-oriented public search engine, such as Google.com or Yahoo.com. These public search engines not only lack the power of systems such as Westlaw to effectively organize and present content based on the specific needs of legal professionals, but also manipulate their search results based on advertising interests.  
         [0006]     Accordingly, the present inventors have recognized a need to improve the information-retrieval systems for not only legal professionals, but also other types of professionals who use pay-for-access research systems.  
       SUMMARY  
       [0007]     To address this and/or other needs, the present inventors devised, among other things, various systems, methods, and software that facilitate the retrieval of open web content from pay-for-access research systems, such as the Westlaw system. One exemplary pay-for-access system receives a query for legal opinions from a user and returns search results that include pay-for-access and non-pay-for-access content.  
         [0008]     In some embodiments, two search engines are used to facilitate the search, with one for a collection of pay-for-access databases and the other for non-pay-for-access (open) databases. Also, in some variants of these embodiments, non-pay-for-access searches are based on the user query in combination with contextual information, such as the identity, professional profile, or a workflow task associated with the user. Moreover, some embodiments display one or more portions of the search results, such as the non-pay-for-access content, in association with advertising based on the query and/or contextual information.  
         [0009]     In some embodiments, queries are optionally directed at only open content, and the results presented or displayed in association with one or more suggestions for related pay-for-access content. 
     
    
     BRIEF DESCRIPTION OF DRAWINGS  
       [0010]      FIG. 1  is a diagram of an exemplary information-retrieval system  100  corresponding to one or more embodiments of the invention;  
         [0011]      FIG. 2  is a flowchart corresponding to one or more exemplary methods of operating system  100  and one or more embodiments of the invention;  
         [0012]      FIG. 3  is a facsimile of an exemplary graphical user interface  300  corresponding to one or more embodiments of the invention; and  FIG. 4  is a facsimile of an exemplary user interface  400  corresponding to one or more embodiments of the invention. 
     
    
     DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS  
       [0013]     This description, which references and incorporates the above-identified Figures, describes one or more specific embodiments of an invention. These embodiments, offered not to limit but only to exemplify and teach the invention, are shown and described in sufficient detail to enable those skilled in the art to implement or practice the invention. Thus, where appropriate to avoid obscuring the invention, the description may omit certain information known to those of skill in the art.  
       Exemplary Information-Retrieval System  
       [0014]      FIG. 1  shows an exemplary online information-retrieval system  100 . System  100  includes one or more pay-for-access databases  110 , one or more open (non-pay-for-access) databases (or data sources)  120 , one or more servers  130 , and one or more access devices  140 .  
         [0015]     Pay-for-access databases (or data stores)  110  includes a set of primary databases  112  and a set of second databases  114 . Primary databases  112 , in the exemplary embodiment, include a caselaw database  1121  and a statutes databases  1122 , which respectively include judicial opinions and statutes from one or more local, state, federal, and/or international jurisdictions. Secondary databases  114 , which contain legal documents of secondary legal authority or more generally authorities subordinate to those offered by judicial or legislative authority in the primary database, includes an ALR (American Law Reports) database,  1141 , an AMJUR database  1142 , a West Key Number (KNUM) Classification database  1143 , and an law review (LREV) database  1144 . Other embodiments may include filed court documents, such as briefs, pleadings, deposition transcripts, and so forth. And still other embodiments include non-legal databases that include pay-for-access financial, scientific, or health-care content. Also, in some embodiments, primary and secondary connote the order of presentation of search results or only nominally distinguish one set of databases from the other, and not necessarily the authority or credibility of the search results.  
         [0016]     Non-pay-for-access databases  120  include one or more News databases  121 , law-firm website databases  122 , bar association website databases  123 , legal blogs database  124 , and miscellaneous databases  125 . Exemplary news databases include law.com, cnn.com/law, corpcounsel, legalnewswatch, Americanlawyer, MOMedicalLaw. Exemplary law firm databases include bakerinfo.com, mofo.com, shearman.com, slwk.com, lindquist.com. Exemplary bar-association databases include ABAnet.org, mnbar.org, lawschool/cornell.edu, jurist law.pitt.edu. Blogs databases include MayItPleaseTheCourt, ip-Updates, TheNonbillableHour, myShingle, BenefitsCounsel, CrimLaw, and Circuit 2 . Miscellaneous databases include FTC.gov and ethics.state.TX.us.  
         [0017]     In some embodiments, non-pay-for-access databases include any free, publicly accessible internet content irrespective of its relevance with legal subject matter. In still other embodiments, non-pay-access databases may include URLs for user-selected databases or URLs (Uniform Resource Locators). In some instances, the databases or URLS are provided as a most-recently-accessed list based on monitoring of user clicks or other indicators of usage frequency.  
         [0018]     In the exemplary embodiment, databases  110  and  120 , which take the exemplary form of one or more electronic, magnetic, or optical data-storage devices, include or are otherwise associated with respective indices (not shown). Each of the indices includes terms and phrases in association with corresponding document addresses, identifiers, and other conventional information. In the exemplary embodiment, the indices include word pairs, such as noun-word pairs and chains of noun-word pairs, to facilitate concept searching. Other embodiments may include conventional keyword indices such as used in Google, Yahoo, or MSN.  
         [0019]     Databases  110  and  120  are coupled or couplable via a wireless or wireline communications network, such as a local-, wide-, private-, or virtual-private network, to server  130 .  
         [0020]     Server  130 , which is generally representative of one or more servers for serving data in the form of webpages or other markup language forms with associated applets, ActiveX controls, remote-invocation objects, or other related software and data structures to service clients of various “thicknesses.” More particularly, server  130  includes a processor module  131 , a memory module  132 , a subscriber database  133 , a primary search module  134 , secondary search module  135 , a web search and crawler module  136 , and a user-interface module  137 .  
         [0021]     Processor module  131  includes one or more local or distributed processors, controllers, or virtual machines. In the exemplary embodiment, processor module  131  assumes any convenient or desirable form.  
         [0022]     Memory module  132 , which takes the exemplary form of one or more electronic, magnetic, or optical data-storage devices, stores subscriber database  133 , primary search module  134 , secondary search module  135 , web search and crawler module  136 , and user-interface module  137 .  
         [0023]     Subscriber database  133  includes subscriber-related data for controlling, administering, and managing pay-as-you-go or subscription-based access of databases  110 . In the exemplary embodiment, subscriber database  133  includes one or more preference data structures, of which data structure  1331  is representative. Data structure  1331  includes a customer or user identifier portion  1331 A, which is logically associated with one or more data fields, such as data fields  1331 B,  1331 C,  1331 D,  1331 E,  1331 F, and  1331 G.  
         [0024]     Data field  1331 B includes a default value governing whether supplemental searching is enabled or disabled when searching select databases, such as case-law databases or non-pay-for-access databases. Data field  1331 C includes a listing of one or more URLs defining a set of one or more non-pay-for-access databases or data sources. Data field  1331 D includes a default value governing presentation of supplemental of secondary search results, for example, the listing priority of various content types or the maximum number of such results to display. Data field  1331 E includes a default value governing which among two or more secondary search algorithms or acceptance criteria are used during secondary searching.  
         [0025]     Data field  1331 F includes one or more values governing the presentation of advertising in search results. For example, in some embodiments, data field  1331 F indicates whether a user has enabled the presentation of third-party advertising in association with search results from non-pay-for-access databases or data sources. In others, it may also include or identify a set of one or more advertisers. And in still others, data field  1331 F may indicate that advertising may be presented in association with pay-for-access data. In these cases, the user may be compensated for allowing the advertising by receiving a total or partial discount on charges that would otherwise be assessed for accessing the pay-for-access data. Data field  1331 G includes professional profile information for the user, such as practice specialty, jurisdictions, educational data, bar admission date, associate-partnership status, estimated or actual income or income range.  
         [0026]     Primary search module  134  includes one or more search engines and related user- interface components, for receiving and processing user queries against one or more of the pay-for-access databases  110 . In the exemplary embodiment, one or more search engines associated with search module  134  provide Boolean, tf-idf, natural-language search capabilities.  
         [0027]     Secondary search module  135  includes one or more search engines for receiving and processing queries against one or more of databases  110 . In the exemplary embodiment, secondary search module  135  provides a composite vector-based classification search using a user query and/or results from primary search module  134 . In other embodiments, the second database provides topical treatises, state practice guides, statutes, and/or law review articles to augment searches of caselaw database. Also, other embodiments augment statute searches, regulatory searches, secondary-material searches, and news searches. Some embodiments charge a separate or additional fee for accessing documents from the second database.  
         [0028]     Web search and crawler module  136  includes one or more search engines and related user- interface components, for indexing content and processing user queries against one or more of the non-pay-for-access databases  120  or more generally any content external to databases. In some embodiments, one or more search engines and crawlers associated with module  136  mirror the capabilities of the primary and/or secondary search modules, providing advanced professional indexing and/or searching capabilities for the open web content. In other embodiments, module  136  includes or accesses the functionality of a generic search engine, such as Google, Yahoo, and MSN.  
         [0029]     In still other embodiments, the web crawler portion of the module finds and indexes pages that create a topical slice of the web, for example, harvesting legal, financial, scientific, health-related, educational, or political information. It may be necessary to download large numbers of pages from domains such as .com and .org to create such a slice, by post-processing the pages with a document categorization engine, such as described in copending U.S. patent application Ser. No. 10/027,914 (attorney docket 4962.015U.S. 1; CARE U.S.), which was filed on Dec. 21, 2001, and which is incorporated herein by reference. Or one could begin with a list of user- or administrator-defined URLs, and simply download and filter all pages from these sites. The module further includes a document clustering and named-entity extraction tools. The document clustering tool discovers subtopics in the downloaded material, or simply classifies them to an existing taxonomy using a categorization engine. Named-entity extraction tools, such as those based on GATE, mine proper names from text, listing these in a separate index, and possibly resolving these references against an authority file, such as a directory of persons or companies that may be a part of databases  110  or  120 .  
         [0030]     User-interface module  137  includes machine readable and/or executable instruction sets for wholly or partly defining web-based user interfaces, such as search interface  1371  and results interface  1372 , over a wireless or wireline communications network on one or more accesses devices, such as access device  140 .  
         [0031]     Ad module  138  include machine readable data and/or executable instructions for incorporating advertising into various displays defined by user-interface module  137 . In some embodiments, ad module  138  includes the actual advertising content, whereas in others the advertising content is provided by accessing a remote advertising data store or database based on ad identifiers and/or advertising selection rules and user data followed by the ad module. Exemplary forms of advertising include banner ads and hyperlinks. In some embodiments, the advertising relates to the handling of specialty legal matters, provision of expert witness services, electronic discovery services, forensic services, valuation services, etc.  
         [0032]     Access device  140  is generally representative of one or more access devices. In the exemplary embodiment, access device  140  takes the form of a personal computer, workstation, personal digital assistant, mobile telephone, or any other device capable of providing an effective user interface with a server or database. Specifically, access device  140  includes a processor module  141  one or more processors (or processing circuits)  141 , a memory  142 , a display  143 , a keyboard  144 , and a graphical pointer or selector  145 .  
         [0033]     Processor module  141  includes one or more processors, processing circuits, or controllers. In the exemplary embodiment, processor module  141  takes any convenient or desirable form. Coupled to processor module  141  is  
         [0034]     Memory  142  stores code (machine-readable or executable instructions) for an operating system  146 , a browser  147 , and a graphical user interface (GUI) 148 . In the exemplary embodiment, operating system  146  takes the form of a version memory  142 . of the Microsoft Windows operating system, and browser  147  takes the form of a version of Microsoft Internet Explorer. Operating system  146  and browser  147  not only receive inputs from keyboard  144  and selector  145 , but also support rendering of GUI  148  on display  143 . Upon rendering, GUI  148  presents data in association with one or more interactive control features (or user-interface elements). (The exemplary embodiment defines one or more portions of interface  148  using applets or other programmatic objects or structures from server  130 .) More specifically, graphical user interface  148  defines or provides one or more display regions, such as a query or search region  1481  and a search-results region  1482 . Query region  1481  is defined in memory and upon rendering includes one or more interactive control features (elements or widgets), such as a primary database input  1481 A, a query input region  1481 B, a query submission button  1481 C, and a secondary search enable/disable input  1481 D.  
         [0035]     Primary database input  1481 A, in the exemplary embodiment, takes the form of a pull-down menu which enables the users to select one or more of pay-for-access databases  110  or one or more of non-pay-for-access databases  120 . Selection of a pay-for-access database in some embodiments not only defines the selected database(s) as the primary target of the search with results displayed in a primary results region  1482 A, but also defines the secondary target as one or more of secondary databases  114  and/or non-pay-for-access databases (or data sources)  120 . Conversely, selection of a non-pay-for-access database or data source as the primary target of the search defines the secondary target as one or more of the pay-for-access databases. Some embodiments omit the user selection feature described here and define the primary database to always be a set of one or more non-pay-for-access database, whereas others define it to be a set of one or more pay-for-access databases.  
         [0036]     Query input region  1481  B receives a user-defined text string as a query, with the query taking the form of Boolean or natural-language query. In some embodiments, query input region provides access to a set of two or more predefined queries, which, for example, may promote development of fundamental knowledge in a particular subject area. Query submission button  1481 C when selected causes communication of the query in query input region  1481 B to server  130  for processing. Secondary search enable/disable input  1481 D provides a user control for enabling or disabling the secondary search capabilities. Default value of input  1481 D is determined by user preferences for a given user.  
         [0037]     Search-results region  1482  is also defined in memory and upon rendering includes a primary results region  1482 A for displaying results found in a primary target of an submitted query, a secondary results region  1482 B for displaying results found in a secondary target of the submitted query, and one or more advertising regions  1482 C. Region  1482 A includes one or more interactive control features, such as features DOC X, DOC Y, DOC Z for accessing or retrieving one or more corresponding primary search result documents from one or more of databases  110  or  120  via server  130 . Each control feature includes a respective document identifier or label identifying respective titles and/or citations for the corresponding documents.  
         [0038]     Secondary results region  1482 B includes one or more interactive control features, such as features DOC  1 , DOC  2 , DOC  3  for accessing or retrieving one or more corresponding secondary search result documents from one or more of databases  110  via server  120 . Each control feature includes a respective document identifier or label identifying respective titles and/or citations for the corresponding documents.  
         [0039]     Advertising regions  1482 C include one or more set of advertising, which is selected by advertising module  128  based on query, search results, and/or contextual information regarding the user or the query. In some embodiments, the advertising is placed in an exclusive region of the results region such as at its top, bottom, left, right subregions, whereas in other embodiments the advertising is placed exclusively with non-pay-for-access search results, in some cases individual ads intermixed with the search results or placed adjacent to specific results.  
         [0040]     In the exemplary embodiment, one of more of these control features takes the form of a hyperlink or other browser-compatible command input, and provides access to and control of query region  1481  and search-results region  1482 . User selection of the control features in region  1482  results in retrieval and display of at least a portion of the corresponding document within a region of interface  148  (not shown in this figure.) Although  FIG. 1  shows query region  1481  and results region  1482  as being simultaneously displayed, some embodiments present them at separate times based on user selection. Additionally or alternatively, some embodiments intermingle the primary and secondary results within region  1482 . Some variants of these embodiments present the secondary results in a font that visibly distinguishes them from the primary results and/or in combination with an icon that indicates them as being secondary or supplemental.  
       Exemplary Operation  
       [0041]      FIG. 2  shows a flow chart  200  of one or more exemplary methods of operating a system, such as system  100 . Flow chart  200  includes blocks  210 - 260 , which, like other blocks in this description, are arranged and described in a serial sequence in the exemplary embodiment. However, some embodiments execute two or more blocks in parallel using multiple processors or processor-like devices or a single processor organized as two or more virtual machines or sub processors. Some embodiments also alter the process sequence or provide different functional partitions to achieve analogous results. For example, some embodiments may alter the client-server allocation of functions, such that functions shown and described on the server side are implemented in whole or in part on the client side, and vice versa. Moreover, still other embodiments implement the blocks as two or more interconnected hardware modules with related control and data signals communicated between and through the modules. Thus, the exemplary process flow (in  FIG. 2  and elsewhere in this description) applies to software, hardware, firmware, and other desirable implementations.  
         [0042]     Block  210  entails presenting a search interface to a user. In the exemplary embodiment, this entails a user directing a browser in an client access device to internet-protocol (IP) address for an online information-retrieval system, such as the Westlaw system and then logging onto the system. Some embodiments may omit an authentication, permitting users to freely access the search interface. Successful login results in a web-based search interface, such as interface  138  in  FIG. 1  or interface  300  in  FIG. 3  (or one or more portions thereof) being output from server  120 , stored in memory  132 , and displayed by client access device  130 .  
         [0043]     As shown in  FIG. 3 , interface  300  includes a number of interactive control features, including a query region  310  and a results region  320 , which generally parallel the function of regions  1481  and  1482  of  FIG. 1 . Query region  310  includes, a query input region  312 , a query target region  314 , and a query-submit command  316 . Query input region  312  receives textual input defining a query. Query target region  314  allows the user to define the primary target of the query as pay-for-access or non-pay-for access databases or data sources. Defining a pay-for-access database as the primary target, in the exemplary embodiment, defines the secondary target as one or more of the non-pay-for-access database or data sources. Query-submit command  316  allows a user to cause access device  140  to submit the query defined in input region  312  and the selection defined in query target region  314  to a server, such as server  130 .  
         [0044]     Using interface  148  or  300 , the user can define or submit a query and cause it to be output to a server, such as server  130 . In other embodiments, a query may have been defined or selected by a user to automatically execute on a scheduled or event-driven basis. In these cases, the query may already reside in memory of a server for the information-retrieval system, and thus need not be communicated to the server repeatedly. Execution then advances to block  220 .  
         [0045]     Block  220  entails receipt of a query. In the exemplary embodiment, the query includes a query string and/or a set of primary and secondary target databases, which includes one or more of the select databases. As noted in above, the exemplary embodiment defines the secondary target databases based on the selection of the primary databases. If the primary database is a pay-for-access database, then the secondary databases will include one or more non-pay-for-access databases as defined by user preferences and/or other criteria. And, if the primary database includes non-pay-for-access databases or data sources, the secondary databases will include one or more pay-for-access database or data sources.  
         [0046]     In some embodiments, the query string includes a set of terms and/or connectors, and in other embodiment includes a natural-language string. Also, in some embodiments, the set of target databases is defined automatically or by default based on the form of the system or search interface. Also, in some embodiments, the received query may be accompanied by other information, such as information defining whether to the secondary search capability has been enabled or disabled. In any case, execution continues at block  230 .  
         [0047]     Block  230  entails identifying a set of primary documents or search results based on or in response to the received query. In the exemplary embodiment, this entails the server or components under server control or command, executing the query against the targeted set of databases and identifying documents that satisfy the query criteria. The targeted database determines which search engine or search procedure to follow. Execution proceeds to block  240 .  
         [0048]     Block  240  entails identifying a set of one or more secondary documents based on the query if the secondary search capability has been enabled. In the exemplary embodiment, secondary identification generally entails using at least a second search engine, such as a multi-classifier text classification engine to search one or more secondary databases, with the pay-for-access or non-pay-for-access character of the databases generally opposite to that of the primary databases.  
         [0049]     More specifically, the exemplary embodiment follows the method shown in flow chart  240 , which includes process blocks  241 - 244 . Block  241  entails searching the secondary databases based on the user query.  
         [0050]     Block  242  entails searching the secondary databases based on results from the first search engine at block  230 . In the exemplary embodiment, this search entails extracting text, such as noun-word pairs or chains of noun-word pairs, from a subset of the documents of the primary search results to define a pool or set of features. The extracted text is then input into a text classifier, such as the multi-classifier engine note above, and compared to text of potentially related articles or more generally documents in the secondary databases. Those judged by the multi-classifier engine to be sufficiently similar to the other search results by virtue of meeting a similarity threshold are then included in the secondary search results. In some embodiments, a preset number of the most relevant documents from the primary search results—for example, the top 5 documents or the top 5% of documents—are used as a basis. Also, some embodiments may use a subset of the primary search results as a basis for a “more like this” type of search of the secondary databases. Execution continues at block  243 .  
         [0051]     Block  243  entails combining the results from the searches of the secondary databases into a secondary results set. In the exemplary embodiment, extended or secondary search results include ALRs, AmJur sections, and West Key Number System classifications codes (and/or associated headnotes) that are determined to be relevant to the query.  
         [0052]     In the exemplary embodiment, the topical scope of the secondary databases is focused on legal materials. However, in some embodiments, any relevant domain of information can be searched, including for example, news and financial databases, professional directories, etc. In determining relevance of secondary database documents, some embodiments rely on customer-tracking or usage information in addition to the secondary search engine. This information ensures documents that are frequently used (that is, “clicked on,”), printed, and/or KeyCited after similar searches are more likely to be included within secondary results.  
         [0053]     Additionally, some embodiments use term location within a document as a factor in determining the relevance score or ranking of candidate secondary results. Moreover, some embodiments also account for contextual information regarding the query, such as the identity or professional profile of the user. For example, if the professional profile indicates that the user&#39;s specialty area differs from the subject matter of the query or that the user has recently been admitted to a given jurisdiction, secondary results that provide more background or jurisdictional (geographic) information may be given greater weight in the ranking or conversely results that do not provide effective background or primer material (as ranked by other users) may be down weighted. Other embodiments may also account for the work task being completed by the user. For example, a user drafting a complaint for a particular jurisdiction could be presented with secondary results that identify sample complaints from winning cases with similar legal issues or fact patterns. Work flow signals or indications may be derived from the query itself or from the entry point into the research system, for example from a plug-in of a word processing program that identifies a given document in process as a complaint. Execution continues at block  250 .  
         [0054]     Block  250  entails presenting results from primary and secondary databases to the user via a graphical user interface. In the exemplary embodiment, this entails displaying a listing of the secondary results in one or more separate regions, panes, or windows, adjacent to a listing of the primary results, with each listed document or more generally item, associated with a corresponding interactive control feature, such as hyperlink, that is selectable by a user to invoke retrieval and/or display of the associated document (or a portion thereof) in the same or separate window. See, for example, primary and secondary regions  1381  and  1382  in  FIG. 1  or primary and secondary regions  320  and  330  in  FIG. 3 . Additionally, some embodiments present the secondary results in association with one or more advertisements, such as advertising  340 .  
         [0055]     Also, some embodiments automatically limit the number of secondary items shown in the separate pane to a predetermined number of items, such as  10  or  20 . Exemplary findings include links to documents from the American Law Reports (ALR) and American Jurisprudence  2   d  (AMJUR) databases, and West topic and key number references (not shown in  FIG. 3 ). (Some embodiment also excludes secondary result documents, such as ALR or AmJur documents, that have red KeyCite status flags (indicating that the documents have been superseded)). In addition, primary results that include case law and statutes may include links to treatises and law reviews. Some embodiments include an “expand” control feature which allows users to selectively extend the number and/or size of the displayed secondary results list and thus gain access to an more extended list of secondary results.  
         [0056]     Block  260  entails retrieving and presenting one or more of the primary search results. In the exemplary embodiment, this entails a user clicking on one or more of the listed primary search results and thereby causing access device  130  to initiate or submit a request for the one or more items. For example, clicking on listed item  321  (in  FIG. 3 ), a non-pay-for-access document, results in presentation of at least a portion of the corresponding Missouri Bar article  411  on Durables Powers of Attorney within a document display region  410  of interface  400  in  FIG. 4 .  
         [0057]     Depending on the access rights of the user and whether the selected content is a pay-for-access document or a non-pay-for access document, the user account is charged a fee for accessing the primary search results. Some embodiments present an advisory message to the user regarding any assessment of fees, providing users an option to cancel access prior to assessment of any applicable fees. (Some embodiments may require the user to enter a password and username or account information as a prerequisite to accessing documents from a pay-for-access database, whereas as other may perform user authentication transparently.  
         [0058]     Additionally, the exemplary embodiment responds to the selection of one of the primary documents by updating the secondary search results. The update in one instance entails re-ranking all or a subset of the current secondary search results based on their similarity to the selected document. In  FIG. 4 , the secondary results region is designated  330 ′ to signify the change from region  330  in  FIG. 3 . However, in other instances, the update may entail executing a new secondary database query using a “more like this” methodology.  
         [0059]     Moreover, some embodiments present the primary and secondary results in categorical clusters corresponding in some instances to their data sources. For example, some embodiments, group all blogs together in rank order of relevance, independently of other types results. Some embodiments anticipate the selection of one or more of the non-pay-for-access results to reduce user-perceived latency in retrieving or displaying such documents.  
         [0060]     In some embodiments, the user interface is configured so that the user can query a vertical collection of the open web content—for example a legal, financial, scientific, or health vertical—using a concept search engine that exploits word pairs and chains of word pairs. Additionally, the interface includes features which upon selection enabling the user to selectively filter search results based on category assignments or named entities associated with the documents. Additional content, such as advertisements, related documents from federated databases, or other information products can be served up to the user, based on the concepts, category assignments, or named entities.  
       CONCLUSION  
       [0061]     In furtherance of the art, the inventors have presented various exemplary systems, methods, and software which, among other things, facilitate the supplementation of search results with additional information. One exemplary system automatically searches for and identifies open web documents in response to queries within a subscription-based system and/or automatically searches for and identifies pay-for-access content in response to receiving open web queries.  
         [0062]     The embodiments described above are intended only to illustrate and teach one or more ways of practicing or implementing the present invention, not to restrict its breadth or scope. The actual scope of the invention, which embraces all ways of practicing or implementing the teachings of the invention, is defined only by the following claims and their equivalents.