AI AUTOMATION
AI automation is the use of AI models inside a defined business workflow to remove repetitive work, with human review on anything that reaches a client. These resources cover where it pays back, what it costs and how to run it safely.
Most AI projects stall because they start with a model instead of a bottleneck. Everything here starts from a task that costs you hours or money today.
Each resource states the cost, the controls and the measurable outcome, so you can decide before anyone writes code.
ULTIMATE GUIDES
AI automation for law firms means using AI inside defined workflows such as client intake, document summarisation, matter status updates and time capture, always with a lawyer reviewing anything that leaves the firm. Most firms start with intake and document handling, spend $3,000 to $10,000 on a first workflow, and recover several hours per fee earner each week.
9 MIN READ
PLAYBOOKS
AI automation for coaches means automating the admin around coaching, not the coaching itself: enquiry qualification, booking, onboarding, session summaries, follow-up sequences and progress tracking. Most coaches start with intake and follow-up, spend $3,000 to $8,000, and recover five to ten hours a week that were going into inbox and calendar work.
8 MIN READ
It can be, when the data rules are explicit, the provider does not train on submitted content, every action is logged, and a lawyer reviews anything that leaves the firm. Those controls are agreed in writing before the build starts.
In practice it absorbs the repetitive parts of the role, such as extraction, summarising and status updates, and shifts the person onto work that needs judgement. Headcount decisions stay with the firm.
Not if you automate the admin rather than the conversation. Clients notice fast replies, reliable follow-up and clear notes; they never see the workflow behind them.
A first automation covering intake, booking and follow-up is usually $3,000 to $8,000. A custom client portal typically starts around $12,000.