GlobalData, a number one information and analytics firm, has revealed its league tables for the highest ten legal advisers by worth and quantity in the metals and mining sector for 2022.

(*10*)Paul, Weiss, Rifkind, Wharton & Garrison and Fasken Martineau DuMoulin emerged as the highest mergers and acquisitions (M&A) legal advisers in the metals & mining sector in 2022 by deal worth and quantity, respectively.

(*10*)Paul, Weiss, Rifkind, Wharton & Garrison suggested on $10bn price of offers whereas Fasken Martineau DuMoulin suggested on a complete of 15 offers.

(*10*)GlobalData lead analyst Aurojyoti Bose mentioned: “Paul, Weiss, Rifkind, Wharton & Garrison, despite advising on only two deals, was the only adviser to touch the $10 billion mark in total value. Interestingly, Fasken Martineau DuMoulin, which occupied the top spot by volume, also managed to occupy the second spot by value.”

(*10*)In response to the monetary offers database of GlobalData, the opposite excessive rankers by worth included Cassels Brock & Blackwell taking the third place with 8.4bn price of offers; adopted by Linklaters with6.7bn; and Webber Wentzel with $6.7bn.

(*10*)When it comes to quantity, Blake Cassels & Graydon with 11 offers took the second place, adopted by Cassels Brock & Blackwell with ten offers, Dorsey & Whitney with 5 offers, and McCarthy Tetrault with 4 offers.

(*10*)GlobalData’s league tables are based mostly on the real-time monitoring of hundreds of firm web sites, advisory agency web sites and different dependable sources out there on the secondary area. A devoted group of analysts displays all these sources to assemble in-depth particulars for every deal, together with adviser names.

(*10*)To make sure additional robustness to the info, the corporate additionally seeks submissions from main advisers, by adviser submission varieties on GlobalData’s web site.


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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.

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