Legal Expert Systems
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Legal Expert Systems
A legal expert system is a domain-specific expert system that uses artificial intelligence to emulate the decision-making abilities of a human expert in the field of law. Legal expert systems employ a rule base or knowledge base and an inference engine to accumulate, reference and produce expert knowledge on specific subjects within the legal domain. Purpose It has been suggested that legal expert systems could help to manage the rapid expansion of legal information and decisions that began to intensify in the late 1960s. Many of the first legal expert systems were created in the 1970s and 1980s. Lawyers were originally identified as primary target users of legal expert systems. Potential motivations for this work included: * speedier delivery of legal advice; * reduced time spent in repetitive, labour intensive legal tasks; * development of knowledge management techniques that were not dependent on staff; * reduced overhead and labour costs and higher profitability for l ...
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Expert System
In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. An expert system is divided into two subsystems: the inference engine and the knowledge base. The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging abilities. History Early development Soon after the dawn of modern computers in the late 1940s and early 1950s, researchers started realizing the immense potential these machines had for modern society. One of ...
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Family Law Act 1975
The ''Family Law Act 1975'' (Cth) is an Act of the Parliament of Australia. It has 15 parts and is the primary piece of legislation dealing with divorce, parenting arrangements between separated parents (whether married or not), property separation, and financial maintenance involving children or divorced or separated ''de facto'' partners: in Australia. It also covers family violence. It came into effect on 5 January 1976, repealing the ''Matrimonial Causes Act 1961'', which had been largely based on fault. On the first day of its enactment, 200 applications for divorce were filed in the Melbourne registry office of the Family Court of Australia, and 80 were filed in Adelaide, while only 32 were filed in Sydney. Background Though the Commonwealth had the power since federation in 1901 to make laws affecting divorce and related matters such as custody and maintenance, it did not enact such national uniform laws until 1961, when the ''Matrimonial Causes Act 1959'' came into ...
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Indeterminacy Debate In Legal Theory
The indeterminacy debate in legal theory can be summed up as follows: Can the law constrain the results reached by adjudicators in legal disputes? Some members of the critical legal studies movement — primarily legal academics in the United States — argued that the answer to this question is "no." Another way to state this position is to suggest that disputes cannot be resolved with clear answers, and thus there is at least some amount of uncertainty in legal reasoning and its application to disputes. A given body of legal doctrine is said to be "indeterminate" by demonstrating that every legal rule in that body of legal doctrine is opposed by a counterrule that can be used in a process of legal reasoning. The ''indeterminacy thesis'' emerged as a left reply to Ronald Dworkin's "right answer" thesis. In its strongest form it is an extreme version of legal realism. It argues that nothing is law until it has been promulgated by an official - either a judge or the legislature. For ...
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HYPO CBR
HYPO is a computer program, an expert system, that models reasoning with cases and hypotheticals in the legal domain. It is the first of its kind and the most sophisticated of the case-based legal reasoners, which was designed by Ashley for his Ph.D dissertation in 1987 at the University of Massachusetts Amherst under the supervision of Rissland. HYPO's design represents a hybrid generalization/comparative evaluation method appropriate for a domain with a weak analytical theory and applies to tasks that rarely involve just one right answer. The domain covers US trade secret law, and is substantially a ''common law'' domain. Since Anglo-American common law operates under the doctrine of precedent, the definitive way of interpreting problems is of necessity and case-based.Rissland, E.L. and Skalak, D.B., Case-Based Reasoning in a Rule-Governed Domain, (1989) In Proceedings of the Fifth IEEE Conference on Artificial Intelligence Applications 1989, Institute of Electrical and Electronic ...
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Clinical Decision Support System
A clinical decision support system (CDSS) is a health information technology, provides clinicians, staff, patients, or other individuals with knowledge and person-specific information, to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, condition-specific order sets;´, focused patient data reports and summaries, documentation templates, diagnostic support, and contextually relevant reference information, among other tools. Robert Hayward of the Centre has proposed a working definition for Health Evidence: "Clinical decision support systems link health observations with health knowledge to influence health choices by clinicians for improved health care". CDSSs constitute a major topic in artificial intelligence in medicine. Characteristics A clinical decision support system is an active knowledge system that ...
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Computer-assisted Legal Research
Computer-assisted legal research (CALR) or computer-based legal research is a mode of legal research that uses databases of court opinions, statutes, court documents, and secondary material. Electronic databases make large bodies of case law easily available. Databases also have additional benefits, such as Boolean searches, evaluating case authority, organizing cases by topic, and providing links to cited material. Databases are available through paid subscription or for free. Subscription-based services include Westlaw, LexisNexis, JustCite, HeinOnline, Bloomberg Law, Lex Intell, VLex and LexEur. As of 2015, the commercial market grossed $8 billion. Free services include OpenJurist, Google Scholar, AltLaw, Ravel Law, WIPO Lex, Law Delta and the databases of the Free Access to Law Movement. Purposes Computer-assisted legal research is undertaken by a variety of actors. It is taught as a topic in many law degrees and is used extensively by undergraduate and postgraduate law st ...
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COMPAS (software)
Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) is a case management and decision support tool developed and owned by Northpointe (now Equivant) used by U.S. courts to assess the likelihood of a defendant becoming a recidivist. COMPAS has been used by the U.S. states of New York, Wisconsin, California, Florida's Broward County, and other jurisdictions. Risk assessment The COMPAS software uses an algorithm to assess potential recidivism risk. Northpointe created risk scales for general and violent recidivism, and for pretrial misconduct. According to the COMPAS Practitioner's Guide, the scales were designed using behavioral and psychological constructs "of very high relevance to recidivism and criminal careers." ; Pretrial release risk scale : Pretrial risk is a measure of the potential for an individual to fail to appear and/or to commit new felonies while on release. According to the research that informed the creation of the scale, "current c ...
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Artificial Intelligence And Law
Legal informatics is an area within information science. The American Library Association defines informatics as "the study of the structure and properties of information, as well as the application of technology to the organization, storage, retrieval, and dissemination of information." Legal informatics therefore, pertains to the application of informatics within the context of the legal environment and as such involves law-related organizations (e.g., law offices, courts, and law schools) and users of information and information technologies within these organizations. Policy issues Policy issues in legal informatics arise from the use of informational technologies in the implementation of law, such as the use of subpoenas for information found in email, search queries, and social networks. Policy approaches to legal informatics issues vary throughout the world. For example, European countries tend to require destruction or anonymization of data so that it cannot be used f ...
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Applications Of Artificial Intelligence
Artificial intelligence (AI) has been used in applications to alleviate certain problems throughout industry and academia. AI, like electricity or computers, is a general purpose technology that has a multitude of applications. It has been used in fields of language translation, image recognition, credit scoring, e-commerce and other domains. Internet and e-commerce Search engines Recommendation systems A recommendation system predicts the "rating" or "preference" a user would give to an item.Francesco Ricci and Lior Rokach and Bracha ShapiraIntroduction to Recommender Systems Handbook Recommender Systems Handbook, Springer, 2011, pp. 1-35 Recommender systems are used in a variety of areas, such as generating playlists for video and music services, product recommendations for online stores, or content recommendations for social media platforms and open web content recommenders.Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh ZadeWTF:T ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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