Information Technology and Lawyers: Advanced Technology in the Legal Domain, from Challenges to Daily Routine

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Arno 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.

 

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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
44 NEURAL NETWORKS
94
441 Feed Forward Networks
95
442 Neural Networks and Defeasible Rules
99
443 Neural Networks and Vague Terms
100
444 Neural Networks in Law
102
45 KNOWLEDGE DISCOVERY FROM DATABASE TECHNIQUES
103
451 Classification
104
452 Clustering and Text Mining
111

157 Conclusion
11
162 Knowledge Systems and Argumentation 1980s
12
17 CONVERGENCE IN IT AND LAW
13
171 Online Dispute Resolution
14
172 Intelligent Agents
15
174 Courtroom Technology or IT Support of the Judiciary
18
176 Australia Singapore and Venezuala
19
18 STRUCTURE OF THE BOOK
20
CASEBASED REASONING
23
22 DESIDERATA FOR A COMPUTERIZED CASEBASED LEGAL ASSISTANT
25
23 A COMPUTER PROGRAM COMPARES LEGAL CASES ON THEIR FACTS
27
24 LEGAL IR CASE RETRIEVAL VS CASE COMPARISON
30
25 AUTOMATING CASEBASED COMPARISON INFERENCE AND ARGUMENT
35
26 DIMENSIONAL CASE COMPARISON INFERENCE AND ARGUMENT
37
27 CASE COMPARISON INFERENCE AND ARGUMENT WITH EBES
43
28 INTEGRATING CASEBASED AND LOGICAL INFERENCE
46
29 PREDICTION IN COMPUTERIZED CASEBASED LEGAL ASSISTANTS
52
210 CONNECTING WITH FULLTEXT LEGAL INFORMATION RETRIEVAL TOOLS
56
SYNTHESIZING A COMPUTERIZED CASEBASED LEGAL ASSISTANT HOW FAR OFF?
58
ARGUMENTATION
61
32 PROOF AND ARGUMENT
62
33 EARLY SYSTEMS FOR LEGAL ARGUMENTATION
63
332 Reasoning with Precedents
65
34 LOGICAL ACCOUNTS OF REASONING UNDER DISAGREEMENT
66
341 Reasoning about Conflicting Rules
68
342 Other Arguments about Rules
69
35 DIALOGUE AND MEDIATION SYSTEMS
71
36 TACTICS FOR DISPUTE
73
37 ARGUMENT SCHEMES
74
38 SYSTEMS TO STRUCTURE ARGUMENT
75
39 PROSPECTS FOR PRACTICAL REALISATION
77
310 CONCLUDING REMARKS
79
ANDREW STRANIERI AND JOHN ZELEZNIKOW5
81
42 DIFFERENCES BETWEEN LEGAL AND OTHER DATA
82
422 Landmark and Commonplace Cases
84
423 Stare Decisis
87
43 PHASES IN THE KNOWLEDGE DISCOVERY FROM DATABASE PROCESS
89
432 Data PreProcessing
90
434 Data Mining and Evaluation
93
453 Time Series Analysis
112
454 Association Rules
113
46 LIMITATIONS OF KNOWLEDGE DISCOVERY FROM DATABASES
115
47 CONCLUSION
116
IMPROVING ACCESS TO LEGAL INFORMATION HOW DRAFTING SYSTEMS HELP
119
52 LEGAL INFORMATION
120
53 STATE OF THE ART OF LEGAL DRAFTING SYSTEMS
122
54 STATE OF THE ART OF LEGAL INFORMATION RETRIEVAL SYSTEMS
127
55 LEGAL DRAFTING IMPROVES ACCESS TO LEGAL INFORMATION
129
551 Drafting and Traditional Retrieval
130
552 Interactive Question Answering System
132
553 Future Directions
134
56 CONCLUSIONS
135
INTERNET WWW AND BEYOND
137
63 THE INTERNET AS INCREASINGLY IMPORTANT SOURCE OF INFORMATION
138
64 SEARCHING FOR INFORMATION ON THE INTERNET
139
65 PROVIDING INFORMATION AND DOING BUSINESS ON THE INTERNET
142
66 THE LANGUAGE OF THE WWW
143
67 EADMINISTRATIONA PROFOUND CHANGE FOR THE LEGAL PROFESSION
147
68 INTEGRATING THE INTERNET WITH TRADITIONAL DESKTOPBASED OFFICE ENVIRONMENTS AND DATABASES
151
MOBILE UBIQUITOUS AND PERVASIVE SYSTEMS
154
CONCERNS FOR INTERNETBASED INFRASTRUCTURES
155
A LOOK AT TECHNOLOGY WITHOUT WALLS
158
612 SELECTED BEST PRACTICE EXAMPLES
160
613 CONCLUSION
163
ARTIFICIAL INTELLIGENCE IN THE REAL LEGAL WORKPLACE
165
72 THREE KINDS OF KNOWLEDGE TECHNOLOGY
166
723 Independent Work
167
73 AI MORE SPECIFICALLY
168
731 What Does It Mean To Be Smart?
169
74 AI IN LAW
170
742 Legal Uses of Legal AI
172
75 OBSTACLES AND OPPORTUNITIES
173
753 Signs of Change
174
76 ROOM FOR IMPROVEMENT
175
BIBLIOGRAPHY
177
INDEX
191
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Acerca del autor (2006)

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.

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