Selecting and Acquiring Legal Resources
| Author | Ted Tjaden |
| Profession | National Director of Knowledge Management McMillan LLP |
| Pages | 287-299 |
287
CHAP TER 9
SELECTING AND
ACQUIRING LEGAL
RESOURCES
A. I NTRODUC TION
This book has focused on how to use legal re sources. For some legal
researchers, this will suffice since the focus of their work is hands-on
legal research. Other law yers or legal researchers, however, will need
to choose or recommend for acquisition particular legal resources for a
law library, be it as part of a small law firm or personal collection or as
part of a larger organization. Very little has been written in the litera-
ture on how to acquire legal resources.1 While it helps to have a good
working knowledge of legal resources when deciding what to select or
acquire, there are certain things that many lawyers or legal research-
ers may not be aware of on this topic, matters that often fall within the
expertise of a law librarian. Therefore, this chapter is aimed at lawyers
or other legal researchers who need to make decisions about selecting
and acquiring legal res ources. Information is provided on the following
topics:
deciding between print and electronic resourcesUÊ
criteria for selecting material for a law libraryUÊ
managing a small law firm law libraryUÊ
1 See, for example, Dougl ass MacEllven et al., Legal Research Handbook, 5t h ed.
(Markham, ON: Lex isNexis Butterwort hs, 2003) c. 16, “Law Firm Libraries,”
and the resourc es listed at the end of this ch apter.
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Transform your legal research with vLex
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Complete access to the largest collection of common law case law on one platform
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Advanced search capabilities with precise filtering and sorting options
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Comprehensive legal content with documents across 100+ jurisdictions
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Trusted by 2 million professionals including top global firms
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Complete access to the largest collection of common law case law on one platform
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Comprehensive legal content with documents across 100+ jurisdictions
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Access AI-Powered Research with Vincent AI: Natural language queries with verified citations