Preventing litigation : : an early warning system to get big value out of big data / / Nelson E. Brestoff and William H. Inmon.

• Superior document: Business law collection,
• VerfasserIn: Brestoff, Nelson E.,; Inmon, William H.,
• TeilnehmendeR: Inmon, William H.,
• Place / Publishing House: New York, New York (222 East 46th Street, New York, NY 10017) : : Business Expert Press,, 2015.
• Year of Publication: 2015
• Edition: First edition.
• Language: English
• Series: Business law collection.
• Physical Description: 1 online resource (xii, 240 pages) :; illustrations.

The 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.

Table of Contents

Part 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.