Business

AI for Legal

Definition

AI tools applied to legal work—contract analysis, due diligence, legal research, compliance monitoring, and document generation. Legal AI can dramatically reduce the cost of routine legal work but requires careful hallucination controls given the consequences of factual errors in legal contexts.

Examples

Contract review automation
Regulatory change monitoring
AI-assisted brief drafting

Related Terms

Hallucination

The tendency of LLMs to generate plausible-sounding but factually incorrect or fabricated content. Hallucination is a primary enterprise risk for generative AI and is mitigated through RAG, grounding techniques, output validation, and human-in-the-loop review processes.

AI for Healthcare

AI applications in clinical and administrative healthcare, including medical image analysis, clinical decision support, drug discovery, and patient flow optimisation. Healthcare AI faces dual regulation in the EU under the AI Act (high-risk) and the Medical Device Regulation (MDR), requiring CE marking.

Retrieval-Augmented Generation (RAG)

A technique that enhances LLM responses by retrieving relevant information from external knowledge sources before generating a response. RAG improves accuracy, reduces hallucinations, and enables LLMs to access up-to-date information without retraining.

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