Implementing AI That Knows Your Firm
This practical guide shows how leading law firms are harnessing their institutional know-how to build AI systems that are secure, scalable, and truly differentiating. Discover how to architect your AI stack to make full use of your data, workflows, and expertise—without compromising on security or control.
This 30-page paper covers in detail:
- Why LLMs alone fall short, and how techniques such as Retrieval-Augmented Generation (RAG) bridge the gap between generic AI and firm-specific insight.
- How enterprise search powers your AI—turning unstructured data into a unified, permission-aware knowledge layer.
- Why the choice of search engine is critical for AI accuracy; good legal search is informed by the entire context of your institutional knowledge—not siloed or “federated.”
- How to operationalize AI workflows and agents, automating legal tasks while keeping human oversight manageable.
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