The Next Generation of Legal Expert Systems - New Dawn or False Dawn?

  • C. Stevens
  • V. Barot
  • J. Carter
Conference paper


Attempts to apply conventional rule-based expert systems to legal problem-solving raise seemingly insurmountable obstacles. The authors analyse the key challenges of developing a legal expert system by reference to a case study of issues arising in their prototype system, the JAES project. This paper explores the advantages of exploiting three alternative approaches- namely: case-based reasoning, blackboard architecture, and service-oriented architecture for the next generation of legal expert systems. The authors advocate the use of hybrid architecture to address the complexity and dynamic nature of the legal domain. The paper evaluates the extent to which these enhancements can meet the special complexities of the legal domain.


Expert System Case Base Reasoning Knowledge Source Legal Domain Hybrid Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Susskind, R. ‘The End of Lawyers? Rethinking the Nature of Legal Services’ 2008, OUPGoogle Scholar
  2. 2.
    Jenkins, J. 2008, ‘What can information technology do for law?’ Harvard Journal of Law & Technology Volume 21, Number 2 Spring 2008Google Scholar
  3. 3.
    Bibel, L.W. ‘AI and the conquest of complexity in law’ Artificial Intelligence and Law 2004 Volume 12, 167CrossRefGoogle Scholar
  4. 4.
    Leith, P. ‘fundamental Errors in Legal Logic Programming’ The Computer Journal, Vol. 29, 545-552Google Scholar
  5. 5.
    Susskind. 2000 Transforming the Law Oxford University PressGoogle Scholar
  6. 6.
    Oskamp and Lauritsen ‘AI in law and practice? So far, not much’ Artificial intelligence and law. 2002 Volume 10 pages 227-236CrossRefGoogle Scholar
  7. 7.
    Oskamp,Tragter and Groendijk, ‘AI and Law: what about the future?’ Artificial Intelligence and Law Volume 3 Number 3 September 1995 pages 209-215CrossRefGoogle Scholar
  8. 8.
    Barot, V., Carter, J. 2008, Design and Development of a Judicial Advisory Expert System (JAES) to Resolve Legal SGA Ownership Dispute Cases, The 2008 UK Workshop on Computational Intelligence, UKCI 2008Google Scholar
  9. 9.
    Barot, V., Carter, J. 2008, Implementation of the Q-Learning Algorithm for Optimising a Judicial Advisory Expert System (JAES), UKCI 2008.Google Scholar
  10. 10.
    Yannopoulos, G.N., 1996, Modelling the legal decision process for information technology applications in law, PhD thesis, 1996Google Scholar
  11. 11.
    Von der Lieth Gardner, A., 1987, An Artificial Intelligence Approach to Legal Reasoning 1987 Massachusetts Institute of TechnologyGoogle Scholar
  12. 12.
    Prakken, H., and Sartor, G., 1998, ‘Modelling Reasoning with Precedents in a formal Dialogue Game, Artificial Intelligence and Law, Vol. 6, 231-287CrossRefGoogle Scholar
  13. 13.
    Wyner, A., 2008, ‘An Ontology in Owl for Legal Case- Based reasoning’ Artificial Intelligence & Law, vol. 16, 361-387.CrossRefGoogle Scholar
  14. 14.
    Vossos, G., 1991, ‘An Example of Integrating Legal Case Based Reasoning with Object-Oriented Rule-Based Systems: IKBALS II available online.Google Scholar
  15. 15.
    Buchanan, B. G., and Feigenbaum, E. A. 1982. Forward. In Davis, R., and Lenat, D. B., eds., Knowledge-Based Systems in Artificial Intelligence. McGraw-Hill.Google Scholar
  16. 16.
    Craig, I.D., Blackboard systems. Artificial Intelligence Review, 1988. 2(2), 103-118.CrossRefMathSciNetGoogle Scholar
  17. 17.
    Corkill, D.D. Collaborating software: Blackboard and multi-agent systems & the future. 2003.Google Scholar
  18. 18.
    Sommerville, I, Software Engineering. 8th ed. 2007, Reading, Massachusetts: Addison-Wesley Publishing Company.MATHGoogle Scholar
  19. 19.
    Hopgood, A. 2001, Intelligent Systems for engineers and Scientists, CRC Press.Google Scholar
  20. 20.
    Cerami, E., Laurent, S.S., 2002, Web services essentials. O'Reilly & AssociatesGoogle Scholar
  21. 21.
    Potts, S. and M. Kopack, 2003, teach yourself web services in 24 hours, SAMSGoogle Scholar
  22. 22.
    Newcomer, E., 2002, Understanding Web Services: XML, Wsdl, Soap, and UDDI., Addison-Wesley.Google Scholar
  23. 23.
    Coyle, F.P., 2002, XML, Web services, and the data revolution. Addison-Wesley Longman, USA.Google Scholar
  24. 24.
    Grove, R.F., Design and development of knowledge-based systems on the web. In: Proceedings of ISCA 2000: Ninth International Conference on Intelligence Systems: Artificial Intelligence Applications for the New Millennium, International Society of Computer Applications (ISCA), 147-150.Google Scholar
  25. 25.
    Duan, Y., J.S. Edwards, and M.X. Xu, Web-based expert systems: benefits and challenges. Information & Management, 2005. 42(6), 799-811.CrossRefGoogle Scholar
  26. 26.
    Newcomer, E., Understanding Web Services: XML, Wsdl, Soap, and UDDI. 2002: Addison-Wesley.Google Scholar
  27. 27.
    Rissland E. Ashley, K, Branting, K. 2006, Case Based Reasoning & Law, The Knowledge Engineering Review, vol. 20:3, 293-298 lCrossRefGoogle Scholar
  28. 28.
    Rissland E., Valcarce, E., Ashley, K, 1984, Explaining and arguing with examples-Proceedings of Fourth National on Artificial Intelligence. AAAI Press, 288-294.Google Scholar
  29. 29.
    Aleven, V., 1997, Teaching case-based argumentation through a model and examples, PhD thesis, University of PittsburghGoogle Scholar
  30. 30.
    Aleven, V., 2003, Using background knowledge in case-based legal reasoning: A computational model and an intelligent learning environment, Artificial Intelligence,Volume 150, Issues 1-2, November 2003, Pages 183-237MATHCrossRefGoogle Scholar
  31. 31.
    Aleven, V., & Ashley, K. D. (1997). Teaching Case-Based Argumentation Through a Model and Examples: Empirical Evaluation of an Intelligent Learning Environment. In B. du Boulay & R. Mizoguchi (Eds.), Artificial Intelligence in Education, Proceedings of AI-ED 97 World Conference (pp. 87-94). Amsterdam, The Netherlands: IOS PressGoogle Scholar
  32. 32.
    Pal, K., & Campbell, J., 1997, An Application of Rule-Based and Case-Based Reasoning within a Single Legal Knowledge-Based System, The Data Base for Advances in Information Systems, vol. 28, 4.Google Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Leicester Institute of Legal Practice, De Montfort University Law SchoolLeicesterUK
  2. 2.Wolfson Institute, University of LoughboroughLoughboroughUK
  3. 3.Centre for Computational Intelligence, De Montfort UniversityLeicesterUK

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