Private AI for Law Firms, Clinics and Accountants: What the Work Involves

A lawyer can't paste a client's contract into a cloud chatbot. A doctor can't do it with patient notes, and an accountant can't with a tax file. Plenty of them would still love an assistant that can draft a letter, summarize a file or find a clause in their own documents. The workable answer is one that runs on the practice's own machines, so client data never leaves the office. Setting that up for them is the service. The software costs nothing. Ollama and LM Studio both run open-source models locally for free, and a 14B model, the size I run myself on a 12 GB graphics card, is enough for drafting and searching documents. What a client pays for is the setup: picking a model that fits the practice, getting it running on suitable hardware and keeping it working afterwards. You need a solid grasp of local AI and open-source models, and patience when things break. Linux and networking knowledge helps a lot when several computers in one office have to reach the same assistant. Every install is hands-on, so this is a personal service and not something that runs by itself. Kairo's data puts this niche at high margins with little competition, and a typical time to first client of about 45 days. Startup cost is close to zero if you already own a capable GPU, and an RTX 40 series card is plenty. Without one, the hardware is your first expense. Once a few setups are running, a maintenance contract with updates is what turns single jobs into recurring income. Getting clients here works differently from most services. These buyers don't respond to ads. They respond to people they can check, so referrals from other professionals are the usual route, followed by LinkedIn and industry events. What you're really selling is trust: credentials help, and so does explaining in plain words how the data stays on site. Each profession also has its own rules on professional secrecy and data protection, and it pays to learn the ones for your chosen sector before your first pitch. If I were starting, I'd pick the profession I understand best, build one working private assistant on a single machine and write down how it handles a typical task. That one clean demo will do more for a law firm than a brochure. I built Kairo to match people with AI-based income paths, based on what they can really do, how much time they have and what hardware they own. If you want to see how this one ranks for your profile: https://kairo.builtbyailab.com/en/?utm_source=blog