Advancements in Natural Language Processing: Applications in Healthcare and Legal Tech

Abstract

A branch of AI known as Natural text Processing (NLP) has been making great strides recently, allowing computers to comprehend, decipher, and produce human-sounding text with more and more precision. These advancements have sparked revolutionary uses in many fields, most notably healthcare and legal technology. Natural language processing (NLP) is enhancing clinical decision support systems, automating medical documentation, and enabling better communication between healthcare practitioners, all of which are transforming patient care. Tools based on natural language processing (NLP) can improve research, treatment planning, and diagnosis by analysing medical literature and electronic health records (EHRs) to derive useful insights. Natural language processing (NLP) is revolutionising the legal industry by developing more efficient and cost-effective solutions for law firms and corporate legal departments. These solutions streamline document analysis, contract evaluation, legal research, and compliance monitoring. Natural language processing (NLP) is helping the legal industry automate mundane processes and make more complicated decisions with less room for human mistake. This is boosting productivity and freeing up attorneys to focus on more strategic matters. up-to-date developments in natural language processing (NLP) systems, such as deep learning models and transformer-based architectures, and the revolutionary uses of these systems in healthcare and legal technology. It delves further into the difficulties of implementing NLP, including topics such data protection, the necessity of domain-specific models, and the incorporation into preexisting processes. While resolving the technical, ethical, and regulatory obstacles to broad adoption, natural language processing (NLP) has the ability to greatly improve the healthcare and legal sectors.