ABSTRACT
Artificial Intelligence (AI) is the attempt by computer scientists to model or simulate intelligent behavior on computers. AI researchers have adopted two main sets, or families, of approaches, the classical and the connectionist approaches. Various AI researchers, both classical and connectionist, have from time to time overstated the performance of their computer programs, especially as regards the ability of these programs to produce intelligence comparable to human intelligence. Connectionist systems have successfully performed certain pattern-recognition tasks such as converting printed English words to intelligible audible speech, tasks that humans do seemingly effortlessly and that classical AI approaches traditionally have done only with great difficulty and limited ability. Classical and connectionist AI approaches have been subject to some common criticisms. Classical AI has rightly been criticized insofar as it claims to attempt to produce machine intelligence or to model all of human intelligence. Legal AI systems serve primarily to automate or partially automate analysis tasks and planning tasks.
