Publication
Arbitration trends in the Middle East: What to expect in 2024 and beyond
The last several years have seen rapid growth in the Middle East.
Global | Publication | February 2017
The Australian Taxation Office (ATO) released a controversial Taxpayer Alert, TA 2017/1 on 31 January 2017. The Taxpayer Alert relates to structures involving both a company (taxed at the corporate rate) and a trust (taxed as a flow through vehicle). The ATO has particularly highlighted structures involving a managed investment trust (MIT) with overseas investors.
The Taxpayer Alert is likely to affect investors in numerous asset classes, including infrastructure and renewables.
Investors need to carefully consider whether their investments are likely to fall within the (very broad) parameters identified by the ATO and should develop a strategy for engaging with the ATO.
Which structures are the ATO concerned about?
The ATO is concerned about “rental staples” (and similar structures where the entities are not stapled). This structure involves the following:
Further, the ATO has also identified these structures as being of concern:
How will the ATO challenge them?
The ATO may challenge the structures under one or more of the following methods:
Which structures should still be OK?
Further information
For information about the implications of this development for your business, please contact one of our Australian Tax partners (see below).
Publication
The last several years have seen rapid growth in the Middle East.
Publication
On May 14, 2024, Lena Haffner, Innovation Lead Germany at Norton Rose Fulbright, shared her insights on “How do you make a law firm AI ready?" at Legal Revolution 2024, one of Europe’s leading conferences in legal innovation and technology. Her lecture focused on developing a comprehensive roadmap for integrating AI into law firms, emphasizing the importance of developing a robust AI strategy and fostering an innovation-ready culture. Key topics covered in the lecture included strategic planning, skills development, multidisciplinary teamwork, and strong AI governance.
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