The average lawyer spends 40% of their day on non-billable work

Forty percent is the number that tends to get attention. Research from legal-industry surveys consistently finds that attorneys spend roughly four of every ten working hours on tasks that never appear on a client invoice: administrative work, internal communication, document management, drafting correspondence, answering routine questions. At attorney billing rates, that adds up fast, and for a small firm it compounds.

None of this requires the judgment that justifies attorney billing rates. It just requires time.

What non-billable time actually looks like

These are not wasted hours, they are the necessary work that keeps a practice running. They just do not generate revenue directly:

• Reviewing and summarizing long documents to prepare for a matter
• Drafting routine letters, engagement agreements, and follow-up emails
• Answering the same client questions about fees, process, and timelines
• Managing intake paperwork for new clients
• Searching prior work product for relevant precedents or language
• Preparing first drafts of standard motions, contracts, or agreements

Where AI changes the math

Document review and summarization. A long contract or deposition transcript that takes hours to review can be summarized in minutes; attorneys still read the summary critically and dive into the sections that warrant it.

First-draft generation. Routine correspondence, engagement letters, and standard motions can be drafted in seconds for an attorney to review, edit, and approve.

Client intake. Structured intake, automatic follow-up, and document collection can take much of the administrative back-and-forth off your staff.

Internal Q&A. An enterprise AI assistant that can securely search your firm's own documents, templates, prior work product, and procedures, can answer routine internal questions in seconds. "Where is our standard arbitration clause?" stops being a ten-minute hunt.

The data-privacy question

Law firms handle confidential client information, and any AI tool that touches it has to handle it appropriately. Consumer AI products are generally not suitable for client-matter work; enterprise tools with proper data-handling agreements are. This is not a reason to avoid AI, it is a reason to implement it correctly, thinking about infrastructure and data governance before the tool.

What this looks like in practice

We work with several Greensboro-area law firms on their IT infrastructure. Adding AI capabilities that run on top of that infrastructure, securely, with appropriate data handling and without new vendors or new risk, is a natural extension of what we already do. The firms that move first will have a real advantage in what they deliver and how efficiently they operate.