As technology develops, we anticipate the use of LLM AI tools to augment corpus linguistic analysis of ordinary meaning—without outsourcing the ultimate task of legal interpretation.
The selling points of LLM AIs are insufficient; corpus tools hold the advantage.
LLM AIs are too susceptible to manipulation—and too prone to inconsistency—to be viewed as reliable means of producing empirical evidence of ordinary meaning.
Our draft article shows that corpus linguistics delivers where LLM AI tools fall short—in producing nuanced linguistic data instead of bare, artificial conclusions.
As we show in a draft article, corpus linguistic tools have been shown to do what LLM AIs cannot—produce transparent, replicable evidence of how a word or phrase is ordinarily used by the public.
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