Blog
Insights on legal tech, marketing infrastructure, and why firms are replacing all their vendors with one system.
The best places to start if you're new to FlowCounsel's thinking on legal marketing, AI search, intake, and growth.
The typical legal marketing agency charges $2,000-5,000/month, owns your ad accounts, and shows you a PDF. Here's what a better model looks like.
Legal MarketingMost firms know their ad spend. Few know their actual cost per retained client. Here's the formula and why most firms can't answer it.
AI & TechnologyA technical look at how ChatGPT, Gemini, and Perplexity source their legal recommendations — and what actually influences whether your firm appears.
Legal MarketingA complete breakdown of what small and mid-size law firms actually spend on marketing — and how the numbers add up to a case for doing it differently.
Legal MarketingMost attorney profiles are digital business cards. The ones that convert visitors into consultations have specific structural qualities that most firms get wrong.
The legal industry does not have an AI problem. It has a workflow problem. Sanctions keep rising because too many legal AI systems still hide the work that matters.
ABA Formal Opinion 512 sets the framework. United States v. Heppner shows the consequences of weak boundaries. Together they point toward reviewable, bounded, auditable legal AI systems.
ABA Formal Opinion 512 is not just a warning about hallucinations. It is a practical blueprint for how legal AI systems should handle review, confidentiality, supervision, provenance, and billing.
United States v. Heppner is not a general ban on AI in legal work. It is a warning about public consumer tools, confidentiality, and the system boundaries legal AI platforms need in practice.
Legal AI memory is not about how much text fits in a model window. It is about persistent state, scoped retrieval, cache discipline, and consistency across a real workflow.
The future of legal AI is not stuffing more client data into longer prompts. It is scoped memory, bounded retrieval, and systems that know what not to load.
The most important question in legal AI is not which model a product uses. It is whether the system enforces a real boundary between draft output and legal effect.
Not all directory listings are equal. Here's a practical framework for evaluating which directories are worth paying for and which are just another invoice.
Most firms try to fix their pipeline by buying more leads. The higher-leverage fix is following up on the leads they already have.