LEADER 01207nam--2200361---450- 001 990000543580203316 035 $a0054358 035 $aUSA010054358 035 $a(ALEPH)000054358USA01 035 $a0054358 100 $a20010704d1983----km-y0itay0103----ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $a<> electronic library$ethe impact of automation on academic libraries$fby Hugh F. Cline, Loraine T. Sinnot 210 $aLexington, Mass.$aToronto$cLexington Books$cD.C. Heat and Company$dc1983 215 $aXIII, 186 p.$ctab.$d23 cm 410 $12001 610 0 $aBiblioteche universitarie Stati Uniti d'America Automazione Studi 610 0 $aBiblioteche specializzate Stati Uniti d'America Automazione Studi 676 $a027.70973 700 1$aCLINE,$bHugh F.$0546297 701 1$aSINNOTT,$bLoraine T.$0546298 801 0$aIT$bsalbc$gISBD 912 $a990000543580203316 951 $a020 LBS 1$b20922 SM$c020$d00106985 959 $aBK 969 $aSCI 979 $aPATTY$b90$c20010704$lUSA01$h1604 979 $c20020403$lUSA01$h1703 979 $aPATRY$b90$c20040406$lUSA01$h1638 996 $aElectronic library$9885928 997 $aUNISA LEADER 04240nam 2200757 450 001 9910812777403321 005 20230125213041.0 010 $a1-63157-316-0 035 $a(CKB)3710000000466812 035 $a(EBL)2169841 035 $a(SSID)ssj0001581843 035 $a(PQKBManifestationID)16258446 035 $a(PQKBTitleCode)TC0001581843 035 $a(PQKBWorkID)14828133 035 $a(PQKB)11756628 035 $a(BEP)4526710 035 $a(OCoLC)950466206 035 $a(CaBNVSL)swl00405993 035 $a(CaSebORM)9781631573163 035 $a(MiAaPQ)EBC4526710 035 $a(EXLCZ)993710000000466812 100 $a20160612d2015 fy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPreventing litigation $ean early warning system to get big value out of big data /$fNelson E. Brestoff and William H. Inmon 205 $aFirst edition. 210 1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2015. 215 $a1 online resource (258 p.) 225 1 $aBusiness law collection,$x2333-6730 300 $aDescription based upon print version of record. 311 $a1-63157-315-2 320 $aIncludes bibliographical references (pages 219-235) and index. 327 $aPart I. Introduction -- 1. How to solve a mystery -- 2. Orientation -- Part II. Proof of value -- 3. How litigious are we? -- 4. Preserving assets -- 5. Protecting leadership and other intangibles -- 6. Introducing the litigation 100 -- 7. Litigation cost as a percentage of profits and losses -- Part III. Preventive law -- 8. What is preventive law? -- 9. An early warning system to prevent litigation? -- Part IV. Big data and textual ETL -- 10. Processing early warning litigation data -- 11. Textual disambiguation, integrating text into a database -- 12. Visualization -- 13. Two examples of document types -- 14. Summary: textual ETL from an architectural perspective -- 15. An ophthalmology analogy -- Part V. Proof of concept -- 16. Finding the signal -- 17. The Enron e-mails -- Part VI. Implementation -- 18. The system to prevent litigation: who should manage it, and why -- 19. The no privacy policies -- 20. How to configure the system -- 21. A product liability example -- 22. Employment discrimination -- 23. The government provides an example -- 24. To know or not to know -- 25. Our corollary to don't be evil -- Notes -- References -- Index. 330 3 $aThe legal profession must change. Today, attorneys don't think of ways to do less litigation. When the damage is done, they examine the wreck at the bottom of the cliff and offer to represent one side or the other. Preventing Litigation, for the first time, explains how to build an early warning system to identify the risk of litigation before the damage is done, and proves that there is big value in less litigation. This book puts everyone where they should be: at the top of the cliff. The authors are subject matter experts, one in litigation, the other in computer science, and each coauthor has more than four decades of training and experience in their respective fields. Together, they present a way forward to a transformative revolution for the slow-moving world of law for the benefit of the fast-paced environment of the business world. 410 0$aBusiness law collection.$x2333-6730 606 $aPreventive law 606 $aCommercial law 610 $aavoiding 610 $areducing 610 $apreventing 610 $amanaging 610 $arisk 610 $alitigation 610 $aBig Data 610 $abusiness intelligence 610 $aearly warning system 610 $ain-house counsel 610 $aLegal Department 610 $aless litigation 610 $apotential litigation 610 $apreventive law 615 0$aPreventive law. 615 0$aCommercial law. 676 $a347.420504 700 $aBrestoff$b Nelson E.$01632833 702 $aInmon$b William H. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910812777403321 996 $aPreventing litigation$93972737 997 $aUNINA