Karas So LLP in Association with Mishcon de Reya is involved in some of the largest and most complex disputes in Asia Pacific and internationally. Our core capabilities include obtaining urgent asset-freezing orders, the pursuit of large project litigation and the conduct of appeals in the highest courts internationally. Our lawyers have conducted arbitrations involving a variety of sectors and under all the major institutional rules.
Our areas of expertise include company law, audit and other professional negligence, director and banker liability, white-collar fraud, private international law, equitable remedies, contract and shareholder disputes, art and cultural property law.
The majority of our projects involve actions in multiple jurisdictions, including Asia, the UK, Continental Europe, the US, the Middle East and all the major offshore jurisdictions.
We are able to draw on the deep pool of experience in our London, Oxford, Cambridge and Singapore offices as well as an established network of international contacts, allowing us to put together the optimal team for the duration of each project, combining specialist expertise and local knowledge.
Additionally, our extensive network of connections in the academic, accelerator and investor communities in Oxford and Cambridge allows us to unlock opportunities in the innovation sector for our clients, by facilitating connections with potential collaborators.
The Private Wealth practice, supported by the wider team at Mishcon de Reya, encompasses tax and wealth planning, immigration, art, reputation, property, and family and business disputes.
Our use of legal technology, including access to proprietary platforms MDR Discover for eDiscovery projects and Mishcon de Reya's cyber risk and complex investigations team, provides clients with competitive advantages. The skilled use of this technology, backed by a dedicated data science team and the Mishcon de Reya digital transformation consulting arm MDRx, enables timely and cost-effective collection, analysis and extraction of value from ‘big data’.