Stephen Cogley QC > 4 Pump Court (Chambers of Nick Vineall QC and Sean Brannigan QC) > London, England > Lawyer Profile

4 Pump Court (Chambers of Nick Vineall QC and Sean Brannigan QC)
4 Pump Court
TEMPLE
LONDON
EC4Y 7AN
England
Stephen Cogley photo

Position

Stephen is a commercial chancery trial advocate, specialising in multi-disciplinary and multi-jurisdictional cases, particularly involving fraud, complex legal issues and tough cross-examination of witnesses and experts. This skill-set has led to his practice spanning all commercial, fiduciary and trade sectors from energy, oil and gas, banking, financial services, shipping, aviation and insurance.

Career

Called 1984, Middle Temple; silk 2011

Education

LLB (Hons) Newcastle

Lawyer Rankings

London Bar > Commercial litigation

(Leading Silks) Ranked: Tier 4

Stephen Cogley QC4 Pump CourtA very effective commercial silk and a pleasure to work with. He has a good eye for detail, prepares very thoroughly and is a persuasive advocate.

4 Pump Court offers ‘consistently excellent service and expertise, backed by top rate clerking‘. The set does well to merge its strengths in more specialised areas, such as IT, construction, insurance, and shipping, with the broader commercial litigation sphere. Multijurisdictional disputes typically feature high on the agenda, and Stephen Cogley QC and Alexander Wright recently worked together on a major claim in the Russian energy sector. Nigel Tozzi QC led a team from chambers, on behalf of the Indian banks, in State Bank of India and 12 others v Mallya, while Nick Vineall QC represented Bank Mellat in the high profile Bank Mellat v HMT Treasury.

London Bar > Energy

(Leading Silks) Ranked: Tier 3

Stephen Cogley QC4 Pump CourtVery tenacious, commercial and strategically astute, he can distil incredibly complex issues down to their bare essence.

London Bar > Aviation

(Leading Silks) Ranked: Tier 4

Stephen Cogley QC4 Pump CourtFabulous intellect and really tenacious. Great advocate. Incredibly commercial and ability to cut through complex data sets to identify the key facts.