Reliable Legal Research in the Age of AI
Discover how AI is reshaping legal research, enhancing efficiency and accuracy, while addressing critical issues of reliability, ethics, and future practices.
Discover how AI is reshaping legal research, enhancing efficiency and accuracy, while addressing critical issues of reliability, ethics, and future practices.
Integration of generative AI into the legal sector necessitates ethical considerations as well as maintaining accountability and transparency
A comprehensive recommendation for safeguarding the justice system against the threats posed by deep fakes.
Lena O’Brien discusses modernizing legal operations through AI and technology, focusing on change management, efficiency, and overcoming resistance in the legal sector.
The rise of AI-generated deepfakes threatens legal integrity. This article explores challenges, legal frameworks, and detection technologies.
Understand key measures of accurate AI output, including reliability, transparency, and citation validation, to build trustworthy AI systems.
Achieving success in generative AI requires a strong data strategy with well-defined pipelines and enriched datasets.
Discover EU AI Act’s risk-based approach, its impact on AI governance, trustworthiness, and the key challenges businesses face in implementing the regulations
Explore strategies to reduce hallucinations in legal AI, including robust training data, RAFT, human oversight, and specific prompts to enhance accuracy.
Grab a cup of coffee and we will walk you through our tool and answer all your questions. We might also have a seat left on our pilot customer list.
