000			04369nam a2200673 i 4500
001			11211368
003			CaPaEBR
005			20241023114841.0
006			m eo d
007			cr cn |||m|||a
008			160612s2015 nyua foab 001 0 eng d
020			_a9781631573163 _qe-book
035			_a(BEP)4526710
035			_a(OCoLC)950466206
035			_a(CaBNVSL)swl00405993
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aK1005
100	1		_aBrestoff, Nelson E., _eauthor.
245	1	0	_aPreventing litigation : _ban early warning system to get big value out of big data / _cNelson E. Brestoff and William H. Inmon.
250			_aFirst edition.
264		1	_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2015.]
300			_a1 online resource (xii, 240 pages) : _billustrations.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aBusiness law collection, _x2333-6730
504			_aIncludes bibliographical references (pages 219-235) and index.
505	0		_aPart I. Introduction -- _t1. How to solve a mystery -- _t2. Orientation -- _tPart II. Proof of value -- _t3. How litigious are we? -- _t4. Preserving assets -- _t5. Protecting leadership and other intangibles -- _t6. Introducing the litigation 100 -- _t7. Litigation cost as a percentage of profits and losses -- _tPart III. Preventive law -- _t8. What is preventive law? -- _t9. An early warning system to prevent litigation? -- _tPart IV. Big data and textual ETL -- _t10. Processing early warning litigation data -- _t11. Textual disambiguation, integrating text into a database -- _t12. Visualization -- _t13. Two examples of document types -- _t14. Summary: textual ETL from an architectural perspective -- _t15. An ophthalmology analogy -- _tPart V. Proof of concept -- _t16. Finding the signal -- _t17. The Enron e-mails -- _tPart VI. Implementation -- _t18. The system to prevent litigation: who should manage it, and why -- _t19. The no privacy policies -- _t20. How to configure the system -- _t21. A product liability example -- _t22. Employment discrimination -- _t23. The government provides an example -- _t24. To know or not to know -- _t25. Our corollary to don't be evil -- _tNotes -- _tReferences -- _tIndex.
506			_aAccess restricted to authorized users and institutions.
520	3		_aThe legal profession must change. Today, attorneys don't think of ways to do less litigation. When the damage is done, they examine the wreck at the bottom of the cliff and offer to represent one side or the other. Preventing Litigation, for the first time, explains how to build an early warning system to identify the risk of litigation before the damage is done, and proves that there is big value in less litigation. This book puts everyone where they should be: at the top of the cliff. The authors are subject matter experts, one in litigation, the other in computer science, and each coauthor has more than four decades of training and experience in their respective fields. Together, they present a way forward to a transformative revolution for the slow-moving world of law for the benefit of the fast-paced environment of the business world.
530			_a2 _ub
530			_aAlso available in printing.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
588			_aTitle from PDF title page (viewed on December 26, 2015).
650		0	_aPreventive law.
650		0	_aCommercial law.
653			_aavoiding
653			_areducing
653			_apreventing
653			_amanaging
653			_arisk
653			_alitigation
653			_aBig Data
653			_abusiness intelligence
653			_aearly warning system
653			_ain-house counsel
653			_aLegal Department
653			_aless litigation
653			_apotential litigation
653			_apreventive law
655		0	_a[genre]
700	1		_aInmon, William H., _eauthor.
776	0	8	_iPrint version: _z9781631573156
830		0	_aBusiness law collection. _x2333-6730
856	4	0	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000423.html
942			_2lcc _bCIU _cOB _eBEP _QOL _zBEP11211368
999			_c74121 _d74121
902			_c1 _dCynthia Snell