Breaking Boundaries: A Comparative Analysis of Two AI Contract Review Approaches

One significant limitation of large language models like GPT-3.5 (“LLMs”) used in contract analysis is the potential for hallucination (i.e. generating fictitious information). These models, while capable of generating contextually coherent responses, can sometimes produce content that may not align with the factual reality of the contract. This is because LLMs generate text based on patterns and associations learned from vast amounts of training data, without an inherent understanding of real-world facts or access to specific contract databases. As a result, there is a risk of the model generating inaccurate or fictional details that may not accurately represent the provisions or intentions of the actual contract. <a href="https://medium.com/@keyterms.app.editor/breaking-boundaries-a-comparative-analysis-of-two-ai-contract-review-approaches-e52e40fc9e7b">Website</a>