Future Trends: Specialized Legal Models, RAG, and Agents

AI tooling is moving from chat answers toward systems that retrieve sources, run multi-step workflows, and log their work. Prompt engineering remains relevant, but will increasingly include tool orchestration.

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Retrieval-Augmented Generation (RAG)

RAG combines a language model with a search layer. Instead of “making up” law, the model answers based on retrieved documents. For legal work, RAG can reduce hallucinations when the retrieval corpus is authoritative.

Specialized legal LLMs

Expect more practice-specific models and firm-private models that reflect your templates and style—paired with governance controls.

Agents and automation

Agent systems can plan steps (search, summarize, extract, draft), call tools, and produce an audit trail. They can also amplify risk—so governance and validation will matter more, not less.