The AI stack for a solo or small law firm

A solo or small law firm's AI stack is defined by two constraints other businesses don't share: bar advertising rules on anything client-facing, and the absolute requirement to verify any AI legal output. Within those constraints, AI delivers real leverage on intake, document review, legal research (verified), and marketing content (attorney-reviewed). The philosophy is to use AI as a paralegal-class accelerator under supervision, never as an unsupervised producer — every citation verified, every client-facing claim checked against bar rules, and no privileged matter in consumer AI. The highest-ROI starting points are usually intake handling (AI captures and organizes new matters) and marketing content (AI drafts educational explainers an attorney signs off on), plus a meeting tool for the routine, non-privileged calls. The mistake small firms make is either avoiding AI entirely (and losing efficiency to competitors) or trusting it unsupervised (and risking the sanctions that have hit firms over hallucinated citations). The stack below stays inside the compliance boundary: tooling with clear data policies for privilege-sensitive work, AI drafting under attorney review for content, and automation for the operational layer. The local-SEO foundation (Google Business Profile, practice-area schema) often matters more than blog volume for a small firm, so the content layer should be deployed deliberately, not as a volume play.