AI Governance

We build governance frameworks to address AI-specific risks (copyright infringement, personal data leakage, hallucination, etc.), from AI usage guideline development to operational system establishment.

Coverage Areas (Examples)

AI governance requires attention to many dimensions. We provide comprehensive support from regulatory compliance to internal framework development.

AI Risk Assessment

We assess and manage AI risks — hallucination, bias, vendor exposure — designing controls that keep risk manageable while preserving the business value of AI.

Examples： AI usage risk assessment / Hallucination & error output risk management / Bias & discriminatory output prevention / Third-party AI vendor risk evaluation

Internal Policy & Rules

We design internal AI rules — usage guidelines, approval flows — concrete enough for employees to use AI with confidence, because blanket bans simply stop being followed.

Examples： Generative AI usage guidelines / Prohibited uses, permitted scope & procedures / Data input / output handling rules / AI usage request & approval workflow

Regulatory Compliance

We support compliance with the laws that AI use engages — personal data protection, copyright, and sector-specific rules — tracking how the regulations and guidelines develop and translating that into concrete action for your business.

Examples： Personal data protection & privacy / Copyright & IP risk management / Sector-specific regulations (finance, healthcare) / Overseas regulation (EU AI Act and similar)

Monitoring & Governance

We build ongoing AI governance — monitoring, incident response, review committees — designed as systems that keep running, not documents that sit still.

Examples： AI usage monitoring framework / Incident response procedures / Internal training & awareness programs / AI review committee setup

Legal Support for AI Development

We handle the legal side of AI development and procurement — contracts, training-data rights — integrated with governance design in a single engagement.

Examples： AI development & procurement contract review / Training data rights & license clearance / Terms of service & liability clauses for AI / Copyright ownership of AI-generated content

Our Strengths

Practitioners with Hands-On AI Experience

Attorneys and CPAs with hands-on AI and data science experience design governance that reflects technical realities — not theoretical frameworks that fail in practice.

Keeping Pace with Rules and Guidelines

We track the fast-moving landscape of AI regulation, centred on the ministry guidelines and the government AI strategy in Japan, and extending to overseas rules such as the EU AI Act where they reach your business. Governance frameworks are designed to hold up as that landscape shifts.

Building Governance That Actually Works

We go beyond drafting policies—designing training, approval flows, and monitoring so that governance actually runs. We tailor every framework to your industry, scale, and AI usage patterns.

FAQ

Q. Our employees have started using ChatGPT for work. Where should we begin?

Start by establishing the facts — which departments are using it, for what — and identifying the risks. The policy decision follows, and there is more than one defensible answer: blocking access from company devices entirely, permitting only specified tools, or setting conditions by use case. What is appropriate depends on your business and the nature of the information involved. We support the full path from assessment through to the policy decision and the internal guidelines that implement it.

Q. Do we need to comply with overseas AI regulations such as the EU AI Act?

The EU AI Act broadly covers companies that provide or use AI for the European market. Japanese companies with offices, customers, or services in Europe may need to comply. We support risk classification (prohibited, high-risk, limited-risk, etc.) and conformity assessment under the Act.

Q. Is Personal Information Protection Act compliance required for AI usage?

Yes — where personal information is used in AI training or inference, the Act applies. Passing data to an external AI service also requires establishing how that transfer is characterized under the Act. We support compliance tailored to how your AI services are used.

Q. Can we develop our own AI governance framework in-house?

Guidelines have been published by METI, MIC, and the Cabinet Office, making a degree of in-house development possible. However, legal interpretation, industry-specific risk assessment, and keeping pace with regulatory changes are areas where specialist support is valuable. We also offer an advisory role to assist with your own internal development process.

Q. We are providing an AI-powered product or service — how should we map the legal risks?

Key areas to address include: (1) legality of training data copyright and personal data processing; (2) liability risk for AI output errors (terms of service and disclaimer clauses); (3) alignment with sector-specific regulations (Financial Instruments and Exchange Act, Medical Practitioners Act, etc.); and (4) potential applicability of overseas regulations such as the EU AI Act. Our attorneys, with hands-on AI development experience, provide comprehensive support spanning both the technical and legal dimensions.

Q. We have created an AI usage policy, but how can we verify that it is actually being followed?

Establishing a post-policy monitoring framework is critical. Effective measures include collecting AI usage logs with periodic reviews, confirming how the request and approval workflow is being operated, collecting and feeding back on violation cases, and running regular training and awareness activities. We provide post-policy operational support and periodic reviews.

Get in Touch

We will listen to your concerns and propose the most suitable service. Initial contact creates no contractual obligation.