8. A method on a computer for generating and periodically updating a Bayesian network used in aiding in the analysis of a legal matter, comprising: generating a Bayesian network representing probabilistic relationships between a plurality of legal inquiries and a plurality of legal conclusions, wherein the Bayesian network comprises a plurality of nodes and a plurality of edges connecting the nodes, wherein each node is associated with a variable that represents either an answer to a legal inquiry or a legal conclusion, and an edge represents a conditional dependency between variables of nodes; associating a probability function with each node, wherein a probability function takes as input one or more values of variables from one or more parent nodes and gives a probability of a child node's variable; receiving a legal update comprising a change in law that affects how the legal conclusions are reached; automatically identifying which legal inquiries or legal conclusions must be modified in light of the legal update; displaying for a user, via a graphical user interface, the legal inquiries or legal conclusions that were identified to be modified; receiving from the user, via the graphical user interface, a description of modifications to the Bayesian network that must be performed in light of the legal update; and modifying the Bayesian network as described by the user.
8. A method on a computer for generating and periodically updating a Bayesian network used in aiding in the analysis of a legal matter, comprising: generating a Bayesian network representing probabilistic relationships between a plurality of legal inquiries and a plurality of legal conclusions, wherein the Bayesian network comprises a plurality of nodes and a plurality of edges connecting the nodes, wherein each node is associated with a variable that represents either an answer to a legal inquiry or a legal conclusion, and an edge represents a conditional dependency between variables of nodes; associating a probability function with each node, wherein a probability function takes as input one or more values of variables from one or more parent nodes and gives a probability of a child node's variable; receiving a legal update comprising a change in law that affects how the legal conclusions are reached; automatically identifying which legal inquiries or legal conclusions must be modified in light of the legal update; displaying for a user, via a graphical user interface, the legal inquiries or legal conclusions that were identified to be modified; receiving from the user, via the graphical user interface, a description of modifications to the Bayesian network that must be performed in light of the legal update; and modifying the Bayesian network as described by the user. 11. The method of claim 8 , wherein the step of receiving from the user a description of modifications comprises: receiving from the remote user, over a communication network via the graphical user interface, a description of modifications to the Bayesian network that must be performed in light of the legal update.