About AI Advisor

About AI Advisor

The practice is run by Sofia Scherman and is built on a combination of business law, technology-sector experience, AI governance and structured risk analysis. The starting point is simple: when technology affects value, responsibility or risk, it is not enough to review the contract. It must also be possible to understand what the technology consists of, who controls it, which claims can be substantiated and which risks follow from the decision.

Why AI Advisor exists

AI Advisor was developed from the insight that technical claims, commercial expectations and legal risks are often mixed together without sufficient structure. This can create significant legal, commercial and operational risks, particularly when decisions are made about investments, procurement, contracts, AI adoption or technology vendors.

The purpose is to give decision-makers material showing what is verified, what is uncertain, what requires action and what should be reviewed further before decisions are made.

Technology and law in the same analysis

What distinguishes AI Advisor’s working method from traditional legal advisory is that technology and AI questions are treated as connected decision questions, not only as regulatory or contractual questions. The review is therefore directed at the assumptions that affect the decision’s value, responsibility and risk: what the system is claimed to do, what can be substantiated, what control exists, which dependencies are present and when a technical issue requires specialist verification.

Background

Sofia Scherman is a Swedish lawyer with a law degree from Stockholm University, Swedish court service and experience as an attorney, in-house counsel and Chief Legal Officer in the technology sector. She has more than fifteen years of experience in business law, commercial contracts, risk allocation, data protection, corporate governance and technology-related legal support.

Her work has often been close to management, product, technology and external advisers, where technical conditions must be related to legal requirements and translated into contracts, risk assessments, customer commitments, internal processes and decision material that works in practice.

Academic depth in AI, law and psychology

In addition to her legal and practical background, Sofia has pursued academic study in digitalisation, new technology, AI and law at advanced university level. This includes the relationship between law, automation, algorithms and artificial intelligence, as well as ethical questions connected to the use of AI in legal practice.

She is also in the final stage of a bachelor’s degree in psychology, with a particular focus on AI, machine psychology and human decision-making. This academic depth strengthens AI Advisor’s ability to analyse the assumptions about functionality, control, responsibility, intelligence and risk that often sit beneath AI and technology decisions.