The Pros and Cons of Using AI for Multinational Cases | Conclusion
Conclusion
AI and GenAI present massive opportunities in litigation, as well as several new challenges.
Understanding where and how different AI technologies can help or hinder eDiscovery is essential.
Machine translation has become more common in e-discovery in recent years because of its efficiency.
GenAI has the potential to be a very powerful e-discovery translation tool for cross-border litigation.
Many are turning to a hybrid approach that combines AI and human intervention to improve the efficiency of e-discovery.
AI is here to stay. However, legal teams must still include sector-specific linguists to handle nuanced translations.
Traditional AI and GenAI in e-discovery are likely here to stay. After all, they can unlock unprecedented levels of productivity and efficiency, especially when it comes to translation in multinational cases. But until these technologies improve in accuracy, bias, and data security, legal teams still need to include sector-specific linguists to generate nuanced translations.
They also need to establish clear data security protocols to maintain compliance and safeguard sensitive information to ensure defensibility. For example, during patent litigation, even a very small mistake in translation (e.g., a misunderstood colloquialism) could render a patent invalid, open it up to competitors’ challenges, or erroneously broaden its claim.
When taking a hybrid approach to e-discovery translation today, it’s best to partner with a reputable language and translation service provider, like Welocalize, that can help manage all the above—from data security and confidentiality to efficient, certified, error-free translations that drive successful multinational litigation.