INDUSTRY PLAYBOOK

The Law Firm AI playbook.

Every missed intake call is a competitor's new client. Every week of slow case-update communication is a complaint waiting to happen. This is the Law Firm playbook: ten mapped use cases across a $300B+ U.S. legal services industry, the tool stack with real costs, the implementation timeline, and the objections operators in this trade actually raise.

Where Law Firms (Solo + Small Practice) actually lose money

Solo and small-practice law is a relationship business with brutal economics: intake conversion is everything, and most firms answer fewer than half their first-time inbound calls because the lawyer is in court, in a meeting, or out of office. The Clio Legal Trends Report has been pointing at this for years — firms that solve intake outperform firms that don't, regardless of practice area. AI front-of-house is now the canonical answer. The second-order effect, after solving intake, is recovering attorney time that currently leaks to admin: case-status calls, document summarization, calendar coordination, billing questions, conflict checks.

The use cases that pay for the system

The stack we ship for this trade

With and without

What the data says

Is it safe to use AI for client conversations? UPL concerns?

Yes — the agent never gives legal advice. It runs structured intake, schedules consultations, and surfaces information from the case file. All substantive legal questions route to a licensed attorney.

Does it integrate with Clio?

Yes — Clio has a strong API. The agent reads matters, runs conflict checks, books consults, and writes intake summaries.

What about MyCase, Smokeball, PracticePanther?

All supported. Each has an API that handles the operations the agent needs.