Think of this as using a very fast, very smart legal intern that can read huge amounts of text, find relevant information, and draft first versions of documents—but still needs a real lawyer to check, interpret, and sign off.
Reduces the time lawyers spend on routine, text-heavy work (research, drafting, summarizing), helping them serve more clients at lower cost while focusing their attention on higher‑value judgment and strategy.
Moat will come from proprietary firm-specific knowledge bases (briefs, memos, templates, playbooks) combined with tightly integrated workflows and compliance processes, rather than from the underlying AI models themselves.
Hybrid
Vector Search
Medium (Integration logic)
Context window cost and latency for large document sets; plus data privacy/compliance constraints when sending client data to external models.
Early Majority
Positioned as an educational and advisory lens on how AI will reshape legal workflows rather than a single product; emphasizes augmentation of lawyers, risk awareness, and the need for governance over fully autonomous legal decision-making.