Leading law firm cuts translation costs 86% with OCR and Translation Memory on 1.1M-word litigation project
A leading law firm deployed Optical Character Recognition for E-Discovery & Document Review in Litigation & Disputes. As reported by www.languageline.com: 86% reduction vs. standard methods translation cost savings.
Source-reported figures — cited source: www.languageline.com
What the leading law firm was trying to fix
A high-profile litigation case required fast, high-quality translation of over 1.1 million words across mixed file types and languages (English and Russian). The majority of files were non-editable, scanned PDFs that could not leverage standard cost-saving tools like Translation Memory or Computer Assisted Translation, making the project extremely expensive under conventional methods.
What the leading law firm deployed
LanguageLine developed a custom OCR tool that analyzed PDF quality, identified languages, and provided word counts for batches of files — enabling both editable and non-editable text to be captured and scored for usability. A deduplication workflow then identified unique content only, with repeated segments processed via Translation Memory. Multiple specialist linguists worked in parallel with independent proofreading, and certificate bundling reduced certification overhead.
Results
Batch 1 of the case was completed within 30 days at the highest quality standard. Cost savings reached 86% compared to standard word-for-word translation methods. The deduplication workflow reduced translatable words from 1.1 million to 400,000, and a further 10 batches were completed, substantially expanding the total scope of the engagement.
Key Takeaways
- OCR quality scoring enables scanned PDFs to leverage Translation Memory, dramatically expanding cost-saving opportunities on document-heavy litigation matters.
- Deduplication workflows that isolate unique content can more than halve translatable word volume on large repetitive document sets.
- Certificate bundling for large batches meets court requirements while eliminating per-page certification costs.
Evidence for the leading law firm's E-Discovery & Document Review deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.languageline.com
- Last updated
- Source link checked
Limitation: The cited source does not identify the company.
Explore Related
Details
- Industry
- Litigation & Disputes
- Use Case
- E-Discovery & Document Review
- AI Technology
- Optical Character Recognition
- Company
- Leading Law Firm
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