Overview

Many legal expert systems are dependent on the concept of complex models. They are implemented using these complex models of legal reasoning. The legal expert systems are useful only if they are used by the users. The users of the expert systems are mainly common men, lawyers or any other person who is studying law. The usability of the Expert System predominantly depends on the quality factor of the system. A complex model of legal reasoning is not necessary; a successful legal expert system can be based upon a simplified model of legal reasoning. A useful legal expert system should be capable of producing advice similar to a lawyer, so it should operate at the same way as a lawyer works in his area. A legal expert system called NIRNAY has been developed to demonstrate that a useful legal expert system can be based upon a pragmatic approach to the law. NIRNAY is a Hybrid Intelligent System which uses two methods of reasoning to give the advice to the user of the system. NIRNAY has an Application layer above the two modules. These modules are Case Based Reasoner module and Rule Based Reasoner module. The rule base and case base are used for representation of knowledge about the domain. NIRNAY is a hybrid intelligent system in the sense that its advice is based upon the two methods of reasoning; it uses the Rule Based Reasoning and Case Based Reasoning to produce the advice. The first module i.e. RBR module checks the validity of the contract and the argument is produced by the CBR module for Breach of Building Contract, an argument, about the similarities and differences between cases. NIRNAY tries to use the way in which lawyers argue with cases. It also attempts to use the way in which lawyers decide which cases to use in the arguments. It makes use of 'similarity measure' to find the similarity between the cases. It decides which cases to use in argument, and what prediction it will make, on the basis of that similarity measure. NIRNAY is tested for both the modules and it indicates that it is exceptionally good at predicting results, and fairly good at choosing cases with which to construct its arguments. NIRNAY demonstrates the viability of a pragmatic approach to legal expert system design.

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