The legal industry, often slow to adopt new technology, is facing a major shift as AI tools enter the field. Robin AI, led by CEO Richard Robinson, is at the forefront of this transformation. The platform uses advanced large language models (LLMs) to help lawyers draft, review, and analyze contracts faster and with greater accuracy.
In a recent conversation on The Decoder Podcast with Nilay Patel, Editor-in-Chief of The Verge, Robinson highlighted both the opportunities and challenges of AI in legal work. One major concern is AI “hallucinations”—instances when AI generates inaccurate information that could impact critical legal documents. “For lawyers, distinguishing between fact and truth is essential,” Robinson said, noting Robin AI’s focus on minimizing such risks through rigorous model training.
Law firms are increasingly adopting AI to streamline repetitive tasks, from contract drafting to document review. This allows attorneys to dedicate more time to strategic decision-making and client engagement. “AI is freeing lawyers from low-value work so they can focus on higher-value tasks,” Robinson explained.
Robin AI is part of a growing wave of legal tech startups reshaping workflows. Its framework integrates directly into existing systems, delivering faster, documented processes that are crucial in time-sensitive cases. To further improve reliability, Robin AI is training its models on specialized legal datasets to better understand complex legal language.
Robinson acknowledged that AI adoption in law remains a work in progress, but interest is growing rapidly. Legal professionals can hear more about Robin AI’s vision on Decoder, available through Apple Podcasts and Vox Media.
As the legal sector embraces AI, Robin AI aims to set a standard for accuracy, efficiency, and responsible innovation—helping firms remain competitive in a fast-changing industry
