Case Study: Alvarez & Marsal achieves faster, more accurate eDiscovery of foreign‑language documents with SYSTRAN Pure Neural™ Machine Translation

Alvarez & Marsal reveal the backstage of eDiscovery success stories with SYSTRAN Pure Neural™ Machine Translation

Alvarez & Marsal, a global consultancy, faced large, document‑heavy eDiscovery and investigative engagements where foreign‑language electronic evidence needed rapid, accurate and secure translation to avoid spoliation risks and enable legal teams to review in their native language. To address this, they adopted SYSTRAN’s platform — including SYSTRAN Pure Neural™ Machine Translation with deep integration into Relativity — to automatically translate and display source text alongside translations as part of their analytics-driven workflows.

SYSTRAN’s solution was implemented to translate documents en masse or on demand, integrated with Alvarez & Marsal’s analytics and Relativity review environment, enabling consistent triage, faster turnaround and fewer process delays. Alvarez & Marsal report that SYSTRAN delivered impressive speed and accuracy versus other providers, simplified reviewer access (a few mouse clicks), reduced reliance on costly native‑speaker review for initial triage, and made large multilingual document sets (e.g., Swedish/Norwegian into English) quickly reviewable across global matters.

Alvarez & Marsal

Phil Beckett

Managing Director