Information Technology and Lawyers: Advanced Technology in the Legal Domain, from Challenges to Daily RoutineArno R. Lodder, Anja Oskamp Springer Science & Business Media, 2006 M02 20 - 198 páginas The area of Information Technology & Lawyers is a fascinating one. Both from a practical and an academic perspective the opportunities of applying Information Technology to law are tremendous. At the same time, however, lawyers are amongst the most conservative professionals, and traditional late adapters of technology. Nowadays the gap between Information Technology & Lawyers is closing more and more, in particular due to the Internet and the richness of legal sources that can be found online. This book provides material to further bridge the gap by showing people with a legal background what is possible with Information Technology now and in the near future, as well as by showing people with an IT background what opportunities exist in the domain of law. Any lawyer should read this book about the current practice of IT in the legal domain, and what is to be expected in the near future. The book is meant for both practitioners and academics, and can serve in any (post)graduate courses on computer science, law, business, etc. The editors Arno R. Lodder and Anja Oskamp are both affiliated to the Computer/Law Institute of the Vrije Universiteit Amsterdam, and before co-edited books on IT support of the Judiciary, as well as the first two editions of the Dutch handbook on IT & Lawyers. |
Contenido
INTRODUCTION LAW INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE | 1 |
12 INFORMATION TECHNOLOGY AND LAW | 3 |
123 Technology and the Involvement of Lawyers | 4 |
14 TAXONOMY OF TECHNOLOGY SUPPORT FOR LAWYERS | 6 |
142 Knowledge Management and Taxonomies | 7 |
15 ARTIFICIAL INTELLIGENCE | 8 |
151 Problem Solving | 9 |
154 Communication | 10 |
434 Data Mining and Evaluation | 91 |
44 NEURAL NETWORKS | 92 |
441 Feed Forward Networks | 93 |
442 Neural Networks and Defeasible Rules | 97 |
443 Neural Networks and Vague Terms | 98 |
444 Neural Networks in Law | 100 |
45 KNOWLEDGE DISCOVERY FROM DATABASE TECHNIQUES | 101 |
451 Classification | 102 |
157 Conclusion | 10 |
162 Knowledge Systems and Argumentation 1980s | 10 |
17 CONVERGENCE IN IT AND LAW | 11 |
171 Online Dispute Resolution | 12 |
172 Intelligent Agents | 13 |
174 Courtroom Technology or IT Support of the Judiciary | 16 |
176 Australia Singapore and Venezuala | 17 |
18 STRUCTURE OF THE BOOK | 18 |
CASEBASED REASONING | 21 |
22 DESIDERATA FOR A COMPUTERIZED CASEBASED LEGAL ASSISTANT | 23 |
23 A COMPUTER PROGRAM COMPARES LEGAL CASES ON THEIR FACTS | 25 |
24 LEGAL IR CASE RETRIEVAL VS CASE COMPARISON | 28 |
25 AUTOMATING CASEBASED COMPARISON INFERENCE AND ARGUMENT | 33 |
26 DIMENSIONAL CASE COMPARISON INFERENCE AND ARGUMENT | 35 |
27 CASE COMPARISON INFERENCE AND ARGUMENT WITH EBES | 41 |
28 INTEGRATING CASEBASED AND LOGICAL INFERENCE | 44 |
29 PREDICTION IN COMPUTERIZED CASEBASED LEGAL ASSISTANTS | 50 |
210 CONNECTING WITH FULLTEXT LEGAL INFORMATION RETRIEVAL TOOLS | 54 |
SYNTHESIZING A COMPUTERIZED CASEBASED LEGAL ASSISTANT HOW FAR OFF? | 56 |
ARGUMENTATION | 59 |
32 PROOF AND ARGUMENT | 60 |
33 EARLY SYSTEMS FOR LEGAL ARGUMENTATION | 61 |
332 Reasoning with Precedents | 63 |
34 LOGICAL ACCOUNTS OF REASONING UNDER DISAGREEMENT | 64 |
341 Reasoning about Conflicting Rules | 66 |
342 Other Arguments about Rules | 67 |
35 DIALOGUE AND MEDIATION SYSTEMS | 69 |
36 TACTICS FOR DISPUTE | 71 |
37 ARGUMENT SCHEMES | 72 |
38 SYSTEMS TO STRUCTURE ARGUMENT | 73 |
39 PROSPECTS FOR PRACTICAL REALISATION | 75 |
310 CONCLUDING REMARKS | 77 |
ANDREW STRANIERI AND JOHN ZELEZNIKOW5 | 79 |
42 DIFFERENCES BETWEEN LEGAL AND OTHER DATA | 80 |
422 Landmark and Commonplace Cases | 82 |
423 Stare Decisis | 85 |
43 PHASES IN THE KNOWLEDGE DISCOVERY FROM DATABASE PROCESS | 87 |
432 Data PreProcessing | 88 |
452 Clustering and Text Mining | 109 |
453 Time Series Analysis | 110 |
454 Association Rules | 111 |
46 LIMITATIONS OF KNOWLEDGE DISCOVERY FROM DATABASES | 113 |
47 CONCLUSION | 114 |
IMPROVING ACCESS TO LEGAL INFORMATION HOW DRAFTING SYSTEMS HELP | 117 |
53 STATE OF THE ART OF LEGAL DRAFTING SYSTEMS | 120 |
54 STATE OF THE ART OF LEGAL INFORMATION RETRIEVAL SYSTEMS | 125 |
55 LEGAL DRAFTING IMPROVES ACCESS TO LEGAL INFORMATION | 127 |
551 Drafting and Traditional Retrieval | 128 |
552 Interactive Question Answering System | 130 |
553 Future Directions | 132 |
56 CONCLUSIONS | 133 |
INTERNET WWW AND BEYOND | 135 |
63 THE INTERNET AS INCREASINGLY IMPORTANT SOURCE OF INFORMATION | 136 |
64 SEARCHING FOR INFORMATION ON THE INTERNET | 137 |
65 PROVIDING INFORMATION AND DOING BUSINESS ON THE INTERNET | 140 |
66 THE LANGUAGE OF THE WWW | 141 |
67 EADMINISTRATIONA PROFOUND CHANGE FOR THE LEGAL PROFESSION | 145 |
68 INTEGRATING THE INTERNET WITH TRADITIONAL DESKTOPBASED OFFICE ENVIRONMENTS AND DATABASES | 149 |
MOBILE UBIQUITOUS AND PERVASIVE SYSTEMS | 152 |
CONCERNS FOR INTERNETBASED INFRASTRUCTURES | 153 |
A LOOK AT TECHNOLOGY WITHOUT WALLS | 156 |
612 SELECTED BEST PRACTICE EXAMPLES | 158 |
613 CONCLUSION | 161 |
ARTIFICIAL INTELLIGENCE IN THE REAL LEGAL WORKPLACE | 161 |
72 THREE KINDS OF KNOWLEDGE TECHNOLOGY | 162 |
723 Independent Work | 163 |
731 What Does It Mean To Be Smart? | 165 |
74 AI IN LAW | 166 |
742 Legal Uses of Legal AI | 168 |
75 OBSTACLES AND OPPORTUNITIES | 169 |
753 Signs of Change | 170 |
76 ROOM FOR IMPROVEMENT | 171 |
BIBLIOGRAPHY | 173 |
INDEX | 187 |
Otras ediciones - Ver todas
Information Technology and Lawyers: Advanced Technology in the Legal Domain ... Arno R. Lodder,Anja Oskamp Vista previa limitada - 2006 |
Information Technology and Lawyers: Advanced Technology in the Legal Domain ... Arno R. Lodder,Anja Oskamp Sin vista previa disponible - 2010 |
Términos y frases comunes
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