Modelling rhetorical legal "logic"--a double syllogism

Abstract This paper looks at legal reasoning from the point of view of the work of the lawyer, rather than the law itself. In the case of Common Law systems, this means a more flexible view of how tasks are divided between the humans and the computer system, with an emphasis on decision support rather than complete automation. A process-based model of the lawyer's work is proposed in the form of a double syllogism, which displays an aesthetically pleasing symmetry, but also a significant asymmetry in the role played by perceived precedents. This arises from the use of inductive, rather than deductive, reasoning. The potential complications arising from the issue of the perception of precedents are discussed in depth. The double-syllogism model is then considered in the light of CommonKADS terminology and models. It is suggested that decision support systems using knowledge-based techniques, as required to support lawyers working under Common Law jurisdiction, raise a stronger form of the interaction problem that is well known in knowledge-based systems. This means that such systems are not well catered for in the existing CommonKADS Organisational, Agent, Task and Communication Models. The double-syllogism model is suggested as a supplement to CommonKADS in the development of such systems, at least until a more generic addition is available.

[1]  Patrick Rivett A World in Which Nothing Ever Happens Twice , 1983 .

[2]  B. Chandrasekaran,et al.  Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design , 1986, IEEE Expert.

[3]  B. Chandrasekaran,et al.  Generic Tasks for Knowledge-Based Reasoning: The "Right" Level of Abstraction for Knowledge Acquisition , 1987, Int. J. Man Mach. Stud..

[4]  Richard E. Susskind,et al.  Latent Damage Law - the Expert System , 1988 .

[5]  Richard E. Susskind,et al.  Expert Systems in Law: A Jurisprudential Inquiry , 1988 .

[6]  Brian R. Gaines,et al.  Knowledge acquisition for knowledge-based systems , 1991, IEEE Expert.

[7]  D. Bainbridge,et al.  A computer system to assist with the sentencing of convicted offenders , 1991 .

[8]  Mark S. Silver,et al.  Systems that support decision makers: description and analysis , 1991 .

[9]  Thomas H. Davenport,et al.  Process Innovation: Reengineering Work Through Information Technology , 1992 .

[10]  Joost Breuker Modelling Artificial Legal Reasoning , 1993, EKAW.

[11]  Jorgen S. Svensson,et al.  Legal Knowledge Based Systems, Jurix '93: Intelligent Tools for Drafting Legislation, Computer-Supported Comparison of Law , 1993 .

[12]  Bob J. Wielinga,et al.  CommonKADS: a comprehensive methodology for KBS development , 1994, IEEE Expert.

[13]  Oliver Wendell Holmes,et al.  The Collected Works of Justice Holmes: Complete Public Writings and Selected Judicial Opinions of Oliver Wendell Holmes , 1994 .

[14]  John Kingston Applying KADS to KADS: knowledge‐based guidance for knowledge engineering , 1995 .

[15]  Christopher Harris-Jones Knowledge based systems methods : a practitioners' guide , 1995 .

[16]  John S. Edwards,et al.  Using information technology to help business students learn about contract law , 1995 .

[17]  Bob J. Wielinga,et al.  Using explicit ontologies in KBS development , 1997, Int. J. Hum. Comput. Stud..

[18]  John S. Edwards,et al.  Strategic process re-engineering in legal service management , 1998 .

[19]  N. Haan,et al.  TOWARDS SUPPORT TOOLS FOR DRAFTING LEGISLATION , 2022 .