Recovering and Reusing Legacy XML / JSON Across Years of Content

The challenge MadCap Flare is a powerful, XML-based authoring environment widely used for software, technical, and medical documentation. It supports complex structures such as variables, conditions, snippets, cross-references, indexes, and multiple output targets. MadCap provides its own translation tool, MadCap Lingo, and on paper this looks like the obvious choice. In practice, however, many long-running…

Replacing Desktop CAT Processes with a Centralized TMS A leading language service provider engaged LocServe to design, install, and implement an enterprise Translation Management System based on GlobalSight, replacing an existing desktop CAT-tool-centric localization process used across multiple clients. The objective was to move from fragmented, file-based workflows to a centralized, automated TMS capable of…

Automation as Infrastructure, Not Experimentation In most real-world localization environments, automation is not about replacing people — it’s about removing friction from complex, repetitive, and error-prone processes. My work in tooling and automation focuses on building practical solutions that sit quietly underneath localization workflows, improving reliability, consistency, and speed without disrupting established teams. These solutions…

The Problem Identified In many localization environments, significant volumes of translated content exist outside structured CAT or TMS workflows. This can include legacy translations, multiple vendor created bilingual text files, or content produced through ad-hoc or emergency processes. While these translations often represent substantial linguistic value, they are frequently: Delivered as separate source and target…

Much of the work I support originates in CMS platforms and feeds into regular localization cycles — weekly, monthly, or per release — often over many years. In several cases, these projects have: Run continuously for 3–5 years Continued in lighter-touch form for up to a decade Required the same workflows to remain stable across…

AI is often described as a radical break from traditional localization. In reality, much of what we are seeing today mirrors the transformation the industry experienced with Machine Translation over the past few decades. When MT first entered enterprise localization, it was met with the same mix of excitement and uncertainty that surrounds AI today….