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Choose 1

Very comfortable

Somewhat comfortable

Not comfortable at all

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Not comfortable at all

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Somewhat comfortable

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Somewhat comfortable

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Somewhat comfortable

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Somewhat comfortable

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We can train them, I guess

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somewhat comfortable

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This question invites diverse responses based on individual experiences with MT for legal documents, highlighting the balance between efficiency and quality. Professionals’ comfort levels likely vary depending on their familiarity with MT tools and the specific contexts in which they work.

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When using MT tools, we aren’t completely comfortable with the appropriateness of the result.

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The accuracy as this field requires highly accurate translation. One smoll mistranslation can result in a huge lost.

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Because contracts contain specialized legal language which AI could hardly grasp the context for now, which means there's a higher possibility that the translator would make mistakes leading to legal consequences. Culture related aspects will be overlooked, disregarded or misinterpreted by AI.

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Because MT is not entirely reliable for legally binding contracts due to potential errors in legal terminology, nuances, and jurisdiction-specific phrasing. Human review is still necessary to ensure accuracy and legal validity.

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Trust in MT for legal documents depends on accuracy, reliability, and security. Precise legal terminology, human oversight, and data protection are crucial to mitigate risks and ensure compliance.

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Because they help us balance efficiency and quality while reducing time, as long as we use them as tools. Though, the results may not be fully correct and may not be entirely reliable, but they are still useful in some situations

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Trust in machine translation for legal documents depends on accuracy, consistency, and security. It works better when trained for legal terms and reviewed by humans. MT is helpful but shouldn’t replace human experts.

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Enhancing AI models by improving language understanding and finding new ways to fix mistakes

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The prominent factor for us is accuracy. MT tools often translate texts literally and straightforward. Any mistakes in the translated texts would result in a big misunderstanding

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The accuracy and reliability, user experience and familiarity, human oversight.

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We could read more different translation of several books or articles and compare those with MT versions to see how different those translate are. Therefore, people would know which aspects that need to be improved or fixed in MT.

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We can train it by inviting skilled translators to ensure accurate translation and contextual appropriateness of MT

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1/ AI's credibility

Since AI doesn't have enough input in most languages, it can misinterpret terms, nuances especially in the legal context.

2/ AI's written language

In a legal setting, formal language is paramount, therefore, AI's writing may be inappropriate since its writing style show informality which can only be used in everyday translation.

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We can train them. Luckily, MT tools have a good memory. They can remember words translated before and translate it again with proper meaning that we train them before if they happen again.