Building Legal and Tax Intelligence: The Story Behind Benvolio
· Benvolio Team
Artificial intelligence entered the legal and tax conversation quickly. Within a few years, large language models demonstrated an ability to summarize legal texts, draft documents, and answer complex questions about legislation and case law. For many observers, this appeared to mark the beginning of a fully automated legal future.
For legal and tax professionals, the picture was more nuanced.
The emergence of legal AI raised not only possibilities, but also structural questions: How should AI interact with professional judgment? What role should automation play in legal reasoning? And how can systems designed to predict language patterns operate reliably in a field defined by interpretation, accountability, and jurisdictional nuance?
These are the questions that Codezilla, a global software development company with over 20 years of experience building technology across fintech, healthcare, e-commerce, and beyond, and law firm Țuca Zbârcea & Asociații, together with its tax division Țuca Zbârcea & Asociații Tax set out to answer.
The Context of Legal and Tax AI Emergence
The arrival of large language models created a significant shift in how knowledge work could be supported by technology. Codezilla had seen this pattern before. Across projects with large organizations in multiple industries, one thing became consistently clear: AI models deliver real value only when they are adapted to the specific context in which they are used.
Law firms and tax advisory teams were no exception. They began experimenting with AI-assisted research, document drafting, and knowledge management, and the technology demonstrated impressive capabilities. But it also exposed an important reality: legal and tax reasoning is not purely informational.
Law is interpretative. Tax work is detail-dependent. Both depend on context, jurisdiction, precedent, institutional practice, and professional responsibility, characteristics that make the legal and tax domain structurally different from many other areas where AI has been deployed.
The Limitations of Generic AI Models in Legal and Tax Work
Generic language models are trained to produce plausible text based on patterns observed in vast datasets, optimized for fluency and statistical likelihood. Legal and tax work requires something different.
A legally or fiscally sound conclusion must be grounded in identifiable sources, interpreted within the appropriate jurisdiction, and aligned with the professional standards that govern advice. Most existing solutions treat law and taxation as uniform systems, ignoring differences between jurisdictions and the complexity of regulatory and compliance matters. Without a clear legal and tax context and structured reasoning, these answers can create false certainty: a real risk in a field where decisions must be owned and justified.
Codezilla recognized this gap not as a limitation of AI in general, but as a design problem, one that could be solved by building differently from the ground up.
The Idea Behind Benvolio
Codezilla conceived Benvolio from a different starting point than most legal AI tools. Instead of asking how AI could generate legal or tax answers more quickly, the guiding question became: how can technology support legal and tax reasoning while preserving professional responsibility?
"In the legal and tax field, this context is not optional. The difference lies in the ability to operate within the local legal framework, with applied interpretation. Benvolio was built on exactly that premise: a platform developed alongside lawyers and tax consultants, grounded in practice and in the way legal work actually gets done." says Sebastian Doroftei, CEO, Codezilla.
The objective was not to automate professional judgment, but to structure and support it, through systems that emphasize traceable reasoning, contextual awareness, and transparency in how conclusions are reached. Legal and tax intelligence, in this sense, is not simply the production of outputs, but the organization of professional thinking in a way that remains accountable.
Collaboration Between Codezilla, Țuca Zbârcea & Asociații, and Țuca Zbârcea & Asociații Tax
To build Benvolio, Codezilla combined its AI and system architecture expertise with the legal and tax practice experience of Țuca Zbârcea & Asociații. The collaboration brought together professionals working across complex legal, fiscal, and regulatory environments, helping shape how the platform approaches structured reasoning, contextual interpretation, and professional accountability.
Codezilla’s engineering teams translated these professional insights into system architecture capable of supporting structured reasoning across both legal and tax domains. This meant modeling how lawyers and tax professionals think through a problem, not just the conclusions they reach, but the reasoning process behind them, and encoding that structure into the platform’s design.
The project also draws on the experience gained through international collaborations within the Andersen network.
How the Platform was Built
Building Benvolio required Codezilla to move well beyond the architecture of general-purpose language models. The platform is built on a three-tier intelligence model that reflects the real way legal and tax reasoning is formed: from general principles, to jurisdictional context, and down to the specifics of each organization.
Rather than relying solely on generative outputs, the architecture integrates multiple layers, combining contextual retrieval, reasoning verification mechanisms, and workflows designed to mirror how professionals approach complex matters. This structure provides complete traceability and clearly separates content generation from the reasoning process, so users can understand and verify how conclusions are reached. The "black-box" dynamic is deliberately avoided: Benvolio is a tool that professionals can explain to a client or a partner.
On the tax side, the platform provides structured and traceable reasoning calibrated against Romanian tax legislation and current interpretive practice, offering a verifiable starting point for fiscal opinions. Benvolio is also designed as a flexible system, adaptable to the internal processes and working methods of each organization, not just at the level of jurisdiction.
Development Direction
Romania represents the pilot market for Benvolio, the environment where Codezilla developed, tested, and validated the platform in real professional practice. That foundation now supports the next stage: European expansion. The first partners from other countries have already been identified, and the scaling process is underway.
Future development continues to focus on expanding jurisdictional awareness, improving the visibility of reasoning pathways, and supporting collaboration across complex legal and tax matters, all areas where Codezilla's engineering capabilities remain central to the platform's evolution.
Legal and tax intelligence is not measured by the speed of answers alone. It is measured by the ability to support decisions that professionals can explain, justify, and defend. That principle, alongside Codezilla and Țuca Zbârcea & Asociații commitment to building technology that earns trust in demanding professional contexts, continues to guide Benvolio's development.