Steuerrecht.com, a small tax law and advisory firm, managed to compete with much larger practices thanks to ChatGPT Business. How did they do it without hiring more staff or sacrificing confidentiality? What follows is a practical walkthrough you can use to understand their adoption and the concrete results they achieved.
How ChatGPT created "virtual departments"
Sebastian Korts's firm turned routine tasks into almost automatic processes, creating what he calls "virtual departments." It's not science fiction: it's about reorganizing time and attention with digital tools.
-
Marketing: they built a niche blog on tax criminal law that updates weekly. With
ChatGPT Businessthey don't miss a court decision and they also use the AI to boost LinkedIn and turn photos into engaging animations. -
Contracts: standard agreements that used to take hours now take minutes. They generate automated templates and personalize them with
custom GPTsfor contracts like CEO appointments or company incorporations. -
Research and publications: they use the AI as an intellectual sparring partner. They introduce their position and ask for counterarguments; the result is a higher-quality internal debate.
-
Knowledge management: by connecting their internal documentation to the tool, they built a repository of modules and templates accessible instantly.
Real results in time and quality
The numbers Korts shares sound like a promise fulfilled: tasks that once took days are now done in hours or minutes. Some concrete examples:
- Research on legal requirements for supervisory boards: from 3–4 hours to minutes.
- Drafting court filings against tax authorities: from a full day to about 10 minutes before final review.
- Responses to long tax office files: from up to 3 days to a few hours.
The founder estimates a personal saving of up to 10 hours per week, time they reinvest in visibility and client acquisition. Doesn't that sound like the kind of advantage a small firm needs?
Confidentiality and responsible adoption
The firm chose ChatGPT Business for legal requirements: GDPR compliance and the guarantee that the service doesn't train models with their data. For lawyers, confidentiality isn't negotiable; it's an obligation.
"We are legally bound to confidentiality. Security was the decisive factor."
Implementation was deliberate: morning sessions to refine prompts, compare approaches and agree on best practices, with weekly syncs to keep competencies uniform. Here's a clear lesson: the tool alone isn't enough; process and training are.
Translation between languages and audiences
One of the most original applications is what Korts calls "translation": moving a text not only between languages but between contexts. For example, a 35-page brief for a court can be summarized into 1.5 pages for a board, and then put into English for a foreign CFO.
This isn't just literal translation. It's reframing the message so each audience understands it within their own frame. And they do it fast: speed helps clients make better-informed decisions.
What does this mean for other small firms?
If you run a small practice, Steuerrecht.com's story offers a useful roadmap:
- Identify repetitive tasks that eat time.
- Test the tool in controlled, confidential processes.
- Train the team and standardize prompts and reviews.
- Always keep a final human legal review.
It's not magic: it's optimization. AI helps level the playing field with bigger players, as long as there's discipline in how it's used.
Looking ahead
The firm is already exploring automated legal update newsletters, precedent search, and multilingual workflows. For Korts, ChatGPT Business is a high-quality tool that's already pushing the practice forward.
What's the practical message for you? AI has stopped being a futuristic promise and become a concrete lever for productivity. If you apply it with security, clear processes, and professional review, it can transform how you work and how you compete.
