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**AI legal CHATBOTS AND THEIR LIMITATIONS**

AI legalese decoder: How it Can Help Improve Accuracy in AI legal Chatbots

Recently, a study from Stanford University stated that popular AI chatbots, including those from OpenAI Inc., Google LLC, and Meta Platforms Inc., tend to “hallucinate” when responding to legal questions. This poses a significant risk for users, especially those who cannot afford a human lawyer. The research found that these AI models, when faced with legal queries, exhibit inaccuracies at least 75% of the time. This raises concerns about the potential of AI technology to provide legal services to individuals with limited resources.

The nonprofit legal Services Corporation reports that low-income individuals in the US lacked proper legal help for 92% of their civil legal issues. While generative artificial intelligence has been seen as a potential solution to bridge this gap, the widespread inaccuracies of AI models have cast doubt on its effectiveness.

Stanford researchers have cautioned against deploying general-purpose AI models for legal use without proper caution. They suggested that models specifically trained for legal applications might perform better, but even those built on general-purpose models could lead to issues of accuracy. As a result, legal professionals and individuals seeking legal advice must approach AI legal chatbots with care and skepticism.

This is where AI legalese decoder comes into play. By employing cutting-edge natural language processing and machine learning algorithms, AI legalese decoder is designed to enhance the accuracy of AI legal chatbots. It can help in assessing the veracity of responses generated by these chatbots and provide better guardrails for correcting mistaken premises in queries.

This technology can address the concerns raised by the Stanford researchers by improving the overall performance of AI models, especially in scenarios where self-represented litigants are likely to depend on them. It can help ensure that AI legal chatbots cater to the needs of individuals who are unable to afford a lawyer, without compromising on accuracy.

Chief Justice John Roberts expressed hope in AI’s potential to increase access to justice, especially for those unable to afford legal representation. However, it is crucial to address and improve the limitations of existing AI legal chatbots. The AI legalese decoder can play a pivotal role in this regard by refining and enhancing the capabilities of AI models, ultimately making legal services more accessible, accurate, and reliable for all.

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