Dieses Bild ist zur Zeit nicht verfügbar.

Building Intelligent Legal Information Systems

Building Intelligent Legal Information
J. Zeleznikow(Herausgeber*in)
Kluwer Law International (Verlag)
1. Auflage
Erschienen am 7. Dezember 1994
368 Seiten
978-90-6544-833-0 (ISBN)
120,93 €inkl. 7% MwSt.
Keine Lieferinformation verfügbar
Intelligent legal information systems or information retrieval systems that support the research and practical activities of today's lawyers have gained ground as legal support tools. This development will have a profound impact on the study and practice of law all over the world in the years to come.

<p class=copymedium>While there may exist a considerable computer-phobia among lawyers, this barrier should be overcome because `no legal professional of the 21st century can afford to be without automated legal support systems', according to the authors. One of the tasks they have set for themselves is the elimination of some of the persistent misinformation that exist about modern information retrieval techniques, while exploring this new and developing field.

<p class=copymedium>The book consists of 3 sections `Fundamental Concepts', `Representation and Reasoning' and `Future Tools' of which the first provides the background information essential for understanding the rest of the book. The second section specifically treats the concept of artificial intelligence, its techniques and the most important existing legal expert systems. The final section gives insight into methods of building legal expert systems, learning approaches and commercial considerations.
<ol class=copymedium>Preface. 1: Introduction. 1. The structure of the book. 2. What's in the book? 3. Who should read this book? Section 1: Fundamental concepts. 2: Tools that lawyers require and tools computer science can deliver. 1. Introduction. 2. Tasks that lawyers perform. 3. What legal support tools can computer science deliver? 4. Future tools. 3: Information retrieval in law. 1. Document retrieval. 2. Advanced document retrieval. 3. Database systems. 4. Database management systems. 5. Relational databases. 6. Object oriented databases. 7. Intelligent legal databases. 4: Jurisprudence. 1. Introduction to jurisprudence. 2. Comparing law and other expert system domains. 3. Hard cases. 4. Jurisprudential theories. 5. The legal positivists. 6. Legal realism. 7. Principles of legal reasoning. 8. Conclusion. 5: Rationales for the development of legal expert systems. 1. Introduction. 2. Some artificial intelligence definitions. 3. Uses of legal expert systems. 4. Can legal expert systems model legal reasoning?. 5. Current research. 6. Knowledge engineering. 7. Jurisprudence revisited. 8. Conclusion. Section 2: Representation and reasoning. 6: Knowledge representation in law. 1. Traditional attempts at knowledge representation. 2. Fundamentals of knowledge representation. 3. Logical formalisms. 4. Logic and theorem proving. 5. Case studies: Logic based legal expert systems. 6. Problems with modelling law through using logic. 7. Case study: production rule systems. 8. Statutory normalisation. 9. Normalisation techniques. 10. Conclusion. 7: Advanced knowledge representation techniques. 1. Introduction. 2. Network representation schemes. 3. Structured representation schemes. 4. Knowledge representation difficulties. 8: Reasoning in legal knowledge based systems. 1. Introduction. 2. Reasoning with rules. 3. Reasoning with experience. 4. Conclusion. 9: Integrating reasoning strategies. 1. Integrating rule and case based reasoning. 2. Integrating case based reasoning and information retrieval. 3. Integrating rule based reasoning and information retrieval. 4. Conclusion. Section 3: Future tools. 10: Building commercial systems. 1. Fundamentals. 2. Current commercial legal expert systems. 3. Languages and shells. 4. The user interface and hypertext. 5. Conclusion. 11: Learning, explanation and uncertainty. 1. Learning. 2. Explanation. 3. Uncertainty measures. 4. Conclusion. 12: Conclusion. 1. Review. 2. Emerging trends. Glossary. References.