Ai TRANSLATE PARTNER
Cosmich Simmons & Brown’s Strategic Business Solutions Practice Group
Pre-eminent Legal and LPO Services with Best-in-Class Language Analytics and Translation Services
Linguistic Systems, Inc. (LSI) and the CSB Strategic Business Solutions (SBS) division of Cosmich Simmons & Brown (CS&B) have formed a strategic partnership to provide best-in-class, AI-based machine translation and expert human translation services as part of CSB’s end-to-end legal and LPO (Legal Process Outsourcing) services. These joint efforts support eDiscovery, litigation, investigations, due diligence, M&A, post-acquisition integration, regulatory reviews, and multi-language document review and translation for CSB’s clients — global leaders in technology, manufacturing, retail, transportation, mining & precious metals, and other industries.
For more information, you can view the full announcement here.
About Cosmich Simmons & Brown’s Strategic Business Solutions
CSB Strategic Business Solutions (”SBS”) is a subsidiary of the law firm of Cosmich Simmons & Brown (”CS&B”). Born out of a law firm environment, SBS is comprised of more than one hundred highly qualified attorneys, eDiscovery specialists, and other legal and business professionals who provide legal and LPO services to support litigation, investigations, due diligence, M&A and post-acquisition integration services, contract management, managed review, multi-language document review and translations, and other legal, contract, and business services to corporations and law firms.
STAR Text Analytics
Strategic Business Solutions clients have exclusive access to a powerful new tool from Ai Translate — Semantic Translation Technology-Assisted Review (STAR).
Text analytics can allow Ai Translate users to minimize the volume of their data that needs to be reviewed, analyzed, and translated in commercial litigation or transaction projects that require a combination of technology-assisted review and human review.
Underlying Ai Translate’s text analytics approach are word embeddings for text. These allow users to capture the salient features of how words are used, and they can significantly reduce processing time compared to latent semantic indexing or related technologies. This new technology processes hundreds of features per second while comparing the words themselves as mathematical representations.
This strategy represents an advance in information processing science while using a neural learning model. To view the STAR video presentation, click the first button below. To download a STAR fact Sheet, please click the second button below.
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