Author(s): Abhay Aditya

Originally published on Towards AI.

How NLP models like LegalBERT are reducing costs by 50%, and making professional-grade legal analysis accessible to everyone

Imagine you’re Sherlock Holmes, but instead of solving murders, you’re hunting down hidden risks in a 50-page software licensing agreement. Every paragraph might be a trap, and every clause could be a hint. Imagine being able to replicate Holmes’ deductive abilities and use them to handle thousands of contracts at once, working around the clock and without missing a detail. This is not fiction; rather, it is the current state of natural language processing(NLP) in the practice of law.

The article discusses how AI and machine learning, particularly through models like LegalBERT, are revolutionizing the legal industry by simplifying complex legal language and reducing costs associated with document analysis. It details the challenges faced by traditional NLP in understanding legal terminology and how specialized AI systems are designed to handle this complexity effectively, enabling legal professionals to review documents rapidly and accurately. With advancements like federated learning, AI can enhance its capabilities without compromising client confidentiality, ultimately democratizing access to sophisticated legal assistance.

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Published via Towards AI