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Dublin, March 02, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of the "Fortune 500 Outside Counsel Legal Fee Profile Report" report to their offering. The 2016 Fortune 500 Outside Counsel Rate Report identifies the Law Firms hired by the largest Corporations in the United States and what hourly rates were paid to them. The Fortune 500 Companies have huge legal spends individually and collectively. Their demand for legal work continues to grow faster than other market segments in the United States but hourly rates are not growing as fast, according the Report. This is due to the sophistication of the buyer, the Fortune 500 company, through its extensive use of e-billing and analysis and also due to legal services still being a buyer's market, i.e., the Fortune 500 Company can name its price for routine legal work and even negotiate lower rates for more complex engagements. Key Topics Covered: 1. Rates by Fortune 500 Company 2. Rates by Firm 3. Rates by Practice Area by Company 4. Rates by Industry by Company Companies Mentioned - ADP - AT&T - Adams and Reese LLP - Aetna - Akerman LLP - Akin Gump Strauss Hauer & Feld LLP - Allen Matkins Leck Gamble Mallory & Natsis LLP - Allstate - Ally Financial - Alphabet - Alston & Bird LLP - Amazon.com - Anglin Flewelling Rasmussen Campbell & Trytten, LLP - Anthony & Partners, LLC - Apple - Autoliv - Baker & Hostetler LLP - Baker & McKenzie LLP - Baker Hughes - Balch & Bingham LLP - Ballard Spahr LLP - Bank of America Corp. - Bank of New York Mellon Corp. - Banner & Witcoff, Ltd. - Barrasso Usdin Kupperman Freeman & Sarver, L.L.C. - Bed Bath & Beyond - Beirne, Maynard & Parsons, L.L.P. - Benesch, Friedlander, Coplan & Aronoff LLP - Blank Rome LLP - Boeing - Bradley Arant Boult Cummings LLP - Bryan Cave LLP - Buchanan Ingersoll & Rooney PC - Burr & Forman LLP - CBS - CHS - Cades Schutte - Capital One Financial - Caplin & Drysdale, Chartered - Cardinal Health - Carlson Dash, LLC - Carlton Fields Jorden Burt, P.A. - Caterpillar - Chevron - Cigna - Coblentz Patch Duffy & Bass, LLP - Coca-Cola - Cognizant Technology Solutions - Colgate-Palmolive - ConocoPhillips - Cooley LLP - Corr Cronin Michelson Baumgardner & Preece LLP - Cravath, Swaine & Moore, LLP - Crowley & Lamb P.C. - d'Arcambal Ousley & Cuyler Burk LLP - DISH Network - DLA Piper - Dentons - Dickinson Wright LLP - Disney - Dollar Tree - Dominion Resources - Drinker Biddle & Reath LLP - Durbin, Larimore and Bialick, P.C. - Dykema Gossett PLLC - Eastman Chemical - Energy Future Holdings - Exxon Mobil - Facebook - Faegre Baker Daniels - Fannie Mae - Fish & Richardson PC - Fisher & Phillips LLP - Foley & Lardner LLP - Ford Motor - Fox Rothschild LLP - Freddie Mac - Garan Lucow Miller P.C. - Gardere Wynne Sewell LLP - General Electric - General Motors - Gibson, Dunn & Crutcher LLP - Gilead Sciences - Glynn & Finley, LLP - Godfrey & Kahn, S.C. - Goldberg Kohn - Golenbock Eiseman Assor Bell & Peskoe LLP - Gordon Rees Scully Mansukhani, LLP - Greenberg Traurig LLP - Hagan, Noll & Boyle, LLC - Hartford Financial Services Group - Herron Ortiz, P.A. - Hills Legal Group, Ltd. - Hinshaw & Culbertson LLP - Holland & Hart LLP - Holland & Knight LLP - Holmes Weddle & Barcott - Hughes Gorski Seedorf Odsen & Tervooren, LLC - Humana - Husch Blackwell LLP - IBM - Intel - J.P. Morgan Chase - Jackson Lewis LLP - Jaffe & Asher LLP - Jeffer Mangels Butler & Mitchell LLP - Jenner & Block LLP - Johnson DeLuca Kurisky & Gould, P.C. - Jones Day - Jones Walker LLP - K&L Gates LLP - Katten Muchin Rosenman LLP - Kaye Scholer LLP - Kean Miller LLP - Keesal, Young? & Logan - Kirkland & Ellis LLP - Klevansky Piper, LLP - Kohner Mann & Kailas, S.C. - Kohut & Kohut LLP - Kutak Rock, LLP - Latham & Watkins LLP - Lathrop & Gage LLP - Law Offices of Peter A. Jaffe, LLC - Lawrence & Russell, PLC - Lewis Brisbois Bisgaard & Smith LLP - Liberty Mutual Insurance Group - Lincoln National - Littler Mendelson P.C. - Locke Lord Edwards - Loeb & Loeb LLP - Lowenstein Sandler PC - MGM Resorts International - Mackie Wolf Zientz & Mann, P.C. - Manley Deas Kochalski, LLC - McDermott Will & Emery LLP - McDowell Knight Roedder & Sledge, LLC - McElroy, Deutsch, Mulvaney & Carpenter, LLP - McGlinchey Stafford PLLC - McGuireWoods LLP - McIntosh Schwartz, PL - McKesson - MetLife - Microsoft - Milbank, Tweed, Hadley & McCloy LLP - Miles & Stockbridge, P.C. - Miller, Johnson, Snell & Cummiskey, P.L.C. - Montgomery Willard, LLC - Morgan Stanley - Morgan, Lewis & Bockius LLP - Morrison & Foerster LLP - Mosaic - Moye White LLP - Munger, Tolles & Olson LLP - Nationwide - New York Life Insurance - Newport Trial Group APC - Nike - Nixon Peabody LLP - Ogletree, Deakins, Nash, Smoak & Stewart, P.C. - Oracle - Orrick, Herrington & Sutcliffe LLP - PNC Financial Services Group - PVH - Pachulski Stang Ziehl & Jones LLP - Pacific Life - Paul Hastings LLP - Perkins Coie LLP - Pfizer - Phillips 66 - Pirkey Barber PLLC - Post & Schell PC - Progressive - Proskauer Rose LLP - Quilling, Selander, Lownds, Winslett & Moser, P.C. - R.R. Donnelley & Sons - RCO Legal, P.S. - Reed Smith LLP - Regions Financial - Reynolds American - Sanchez-Medina, Gonzalez, Quesada, Lage, Crespo, Gomez - Sanchez-Medina, Gonzalez, Quesada, Lage, Crespo, Gomez & Machado LLP - Schoeman Updike Kaufman Stern & Ascher LLP - Sherwin-Williams - Sidley Austin LLP - Simcox and Barclay LLP - Sirote & Permutt, PC - Snell & Wilmer LLP - Spencer Fane Britt & Browne LLP - Spotts Fain PC - Squire Patton Boggs - State Farm Insurance Cos. - State Street Corp. - Stevens & Lee - Stinson Leonard Street LLP - Stryker - Sullivan & Cromwell LLP - Swift, Currie, McGhee & Heirs, LLP - The Carlson Law Office, PLLC - The Hustead Law Firm - Thompson & Knight LLP - Thompson Hine LLP - Thrivent Financial for Lutherans - Tompkins, McGuire, Wachenfeld & Barry LLP - U.S. Bancorp - USAA - UnitedHealth Group - Unum Group - Vandeventer Black LLP - Viacom - Visa - Visteon - Vorys, Sater, Seymour and Pease LLP - Walgreens Boots Alliance - Waller Lansden Dortch & Davis LLP - Walmart - Warner Norcross & Judd LLP - Weinstein Radcliff Pipkin LLP - Wells Fargo - Wheeler Trigg O'Donnell LLP - Whirlpool - Williams, Venker & Sanders, L.L.C. - Wilmer Cutler Pickering Hale and Dorr LLP - Wilson Sonsini Goodrich & Rosati, PC - Wilson, Elser, Moskowitz, Edelman & Dicker LLP - Zimmer Biomet Holdings For more information about this report visit http://www.researchandmarkets.com/research/vm8wrb/fortune_500


Craig B.N.,Lamar University | Congleton J.J.,Texas A&M University | Kerk C.J.,South Dakota School of Mines and Technology | Amendola A.A.,Texas A&M University | And 2 more authors.
IIE Annual Conference and Expo 2010 Proceedings | Year: 2010

Moving materials provides an essential function however these activities are also riddled with occupational injuries and illnesses (OIIs). Better understanding the risk factors associated with OIIs may assist in the reduction of the number and severity of these OIIs. Potential psychosocial risk factors were measured and evaluated for association with OIIs in 442 manual material handlers, across three companies, nine US locations, and 15 different job descriptions. OIIs were tracked within this population for one year after the testing was completed. Higher occurrences of OIIS were significantly associated with the same five risk factors in the univariate and multivariate models, with odds ratios ranging from 2.13 - 7.29.


Craig B.N.,Lamar University | Congleton J.J.,Texas A&M University | Beier E.,Lamar University | Kerk C.J.,South Dakota School of Mines and Technology | And 2 more authors.
International Journal of Occupational Safety and Ergonomics | Year: 2013

Twenty-one risk factors affecting laborers in manual materials handling tasks were analyzed to determine what, if any, statistically significant relationships existed between the factors and the emergence of occupational back injury. The statistically significant risk factors (p ≤ .05) in the univariate analysis were determined to be weight lifted per hour (work intensity), trunk twists per hour, weight lifted per day, frequency of lift, trunk motions per hour, and trunk flexions per hour, with odds ratios (ORs) of 1.28-2.88. In addition, self-reported discomfort in the neck, middle back, knees, and lower back was associated with the outcome of back injury (p ≤ .05, OR 1.75-2.66). In the multivariate analysis, the statistically significant risk factors (p ≤ .05) were weight lifted per hour (work intensity), average weight of lift, and number of trunk twists per hour, with ORs of 1.74-4.98.


Jin S.,Iowa State University | Jin S.,Liberty Mutual Insurance Group | Botterud A.,Argonne National Laboratory | Ryan S.M.,Iowa State University
IEEE Transactions on Power Systems | Year: 2014

We propose a stochastic generation expansion model, where we represent the long-term uncertainty in the availability and variability in the weekly wind pattern with multiple scenarios. Scenario reduction is conducted to select a representative set of scenarios for the long-term wind power uncertainty. We assume that the short-term wind forecast error induces an additional amount of operating reserves as a predefined fraction of the wind power forecast level. Unit commitment (UC) decisions and constraints for thermal units are incorporated into the expansion model to better capture the impact of wind variability on the operation of the system. To reduce computational complexity, we also consider a simplified economic dispatch (ED) based model with ramping constraints as an alternative to the UC formulation. We find that the differences in optimal expansion decisions between the UC and ED formulations are relatively small. We also conclude that the reduced set of scenarios can adequately represent the long-term wind power uncertainty in the expansion problem. The case studies are based on load and wind power data from the state of Illinois. © 2014 IEEE.


Jin S.,Iowa State University | Jin S.,Liberty Mutual Insurance Group | Ryan S.M.,Iowa State University
IEEE Transactions on Power Systems | Year: 2014

We study a tri-level integrated transmission and generation expansion planning problem in a deregulated power market environment. The collection of bi-level sub-problems in the lower two levels is an equilibrium problem with equilibrium constraints (EPEC) that can be approached by either the diagonalization method (DM) or a complementarity problem (CP) reformulation. This paper is a continuation of its Part I, in which a hybrid iterative algorithm is proposed to solve the tri-level problem by iteratively applying the CP reformulation of the tri-level problem to propose solutions and evaluating them in the EPEC sub-problem by DM. It focuses on the numerical results obtained by the hybrid algorithm for a 6-bus system, a modified IEEE 30-bus system, and an IEEE 118-bus system. In the numerical instances, the (approximate) Nash equilibrium point for the sub-problem can be verified by examining local concavity. © 2013 IEEE.


Jin S.,Iowa State University | Jin S.,Liberty Mutual Insurance Group | Ryan S.M.,Iowa State University
IEEE Transactions on Power Systems | Year: 2014

We develop a tri-level model of transmission and generation expansion planning in a deregulated power market environment. Due to long planning/construction lead times and concerns for network reliability, transmission expansion is considered in the top level as a centralized decision. In the second level, multiple decentralized GENCOs make their own capacity expansion decisions while anticipating a wholesale electricity market equilibrium in the third level. The collection of bi-level games in the lower two levels forms an equilibrium problem with equilibrium constraints (EPEC) that can be approached by either the diagonalization method (DM) or a complementarity problem (CP) reformulation. We propose a hybrid iterative solution algorithm that combines a CP reformulation of the tri-level problem and DM solutions of the EPEC sub-problem. © 2013 IEEE.


Jin S.,Iowa State University | Jin S.,Liberty Mutual Insurance Group | Botterud A.,Argonne National Laboratory | Ryan S.M.,Iowa State University
IEEE Transactions on Smart Grid | Year: 2013

We present a stochastic programming model for investments in thermal generation capacity to study the impact of demand response (DR) at high wind penetration levels. The investment model combines continuous operational constraints and wind scenarios to represent the implications of wind variability and uncertainty at the operational level. DR is represented in terms of linear price-responsive demand functions. A numerical case study based on load and wind profiles of Illinois is constructed with 20 candidate generating units of various types. Numerical results show the impact of DR on both investment and operational decisions. We also propose a model in which DR provides operating reserves and discuss its impact on lowering the total capacity needed in the system. We observe that a relatively small amount of DR capacity is sufficient to enhance the system reliability. When compared to the case with no DR, a modest level of DR results in less wind curtailment and better satisfaction of reserve requirements, as well as improvements in both the social surplus and generator utilization, as measured by capacity factors. © 2010-2012 IEEE.

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