Miriam is a Senior Manager within the Alternative Legal Services (ALT) legal team.
She is responsible for leading teams undertaking high-volume, document-intensive legal work to support the firm's Disputes clients.
Her experience is focused on managing large-scale document review exercises involving analysis of complex issues, legal professional privilege, sensitivity and confidentiality in the context of litigation or arbitration matters, or for internal and regulatory investigations.
She is experienced in implementing streamlined processes and workflows and in the use of Technology Assisted Review, which leverages artificial intelligence machine learning to meet clients' requirements. She has also led teams in providing a range of post-disclosure support including evidence analysis and pre-trial preparation.
Miriam qualified in 2005 and joined Herbert Smith Freehills in April 2011.
Experience & expertise
- a global financial services firm defending UK claims brought by a group of investors in a collective investment scheme, using the machine learning capabilities of Brainspace technology to identify documents for disclosure
- a major energy corporation in connection with New York-based litigation and arbitration actions arising from its oil and gas explorations in South America, involving language review workstreams in English, Mandarin and Spanish
- a client prosecuted by the Serious Fraud Office in connection with events that arose in the context of the crisis in the UK financial sector, involving review of a large volume of over 70,000 documents and related tasks to inform strategy and trial preparation
- a multinational investment bank defending proceedings initiated in the Spanish courts alleging breach of a confidentiality agreement, involving review of documents for relevance and privilege and preparation of a timeline of key documents
- a UK listed company in relation to an investigation by the Serious Fraud Office in relation to suspected bribery in connection with its operations in East Africa, involving review for relevance and privilege and identification of documents key to the allegations