Unnamed Law Firm

In high-stakes litigation, document translation is rarely straightforward. For one high-profile case, a leading law firm faced a project spanning over 1.1 million words across mixed file types and two languages — English and Russian. The central obstacle was the document composition: the majority of files were non-editable, scanned PDFs. Under standard translation workflows, scanned documents cannot be processed by Translation Memory (TM) or Computer Assisted Translation (CAT) tools, which means each word is billed at full rate with no leverage from repeated content. On a matter of this scale, that pricing structure made conventional translation economically prohibitive — particularly where litigation timelines left no room for cost overruns or rework.

LanguageLine Solutions developed a custom Optical Character Recognition pipeline tailored to the specific demands of litigation document sets. The OCR tool processed each PDF in batch, analyzing image quality, detecting language, and generating accurate word counts — making previously locked content readable by TM and CAT systems. Files that passed quality thresholds were converted to editable formats and fed into a deduplication workflow that isolated unique content, routing repeated segments directly to Translation Memory for instant leverage. High-quality human review remained central: specialist linguists worked the unique segments in parallel, with independent proofreading built into each batch. Certificate bundling was applied across document groups to satisfy court admissibility requirements while eliminating per-page certification overhead. The approach transformed a word-for-word billing problem into a precision workflow.

The first batch was delivered within 30 days at the firm's highest quality standard — a critical threshold for court-admissible materials. The deduplication and OCR pipeline reduced billable volume from 1.1 million to approximately 400,000 unique words, a substantial reduction before TM leverage was applied. Total cost savings reached 86% compared to standard word-for-word translation rates. Key outcomes:

• 86% reduction in translation cost vs. conventional methods
• 400K words translated after deduplication (down from 1.1M)
• 30 days to complete Batch 1 at highest quality tier
• 11 batches completed in total, covering nearly 1.2 million words across the full matter

• OCR quality scoring is the prerequisite for TM leverage on scanned document sets — without it, litigation translation defaults to the most expensive per-word model regardless of actual content complexity.
• Deduplication at intake, not post-translation, is where large savings are realized; mapping repeated segments before assignment eliminates redundant linguist effort.
• Parallel linguist workflows with structured proofreading allow volume scale without sacrificing the quality standards courts require for admissibility.
• Certificate bundling by batch rather than by document is a practical mechanism for controlling certification costs on multi-thousand-page matters.
• Early investment in custom tooling (OCR pipelines, batch processing) pays back quickly at litigation scale — even partial leverage on 1M+ word projects produces significant cost impact.