AI Law
Holistic Solution for
AI Compliance

Helping organizations build, buy, and use AI safely, lawfully, and competitively

Four Reasons Companies
Must Conduct AI Compliance

AI is scaling fast, risk even faster

Unchecked AI exposes businesses to bias, data leaks, IP disputes, and liability. Your intellectual property, trade secrets or databases may be exposed without your knowledge until it is too late.

Regulation with high penalties

From the EU AI Act to ISO/IEC 42001, global frameworks are setting strict rules. Companies that act early will adapt smoothly, while late movers face penalties, stalled projects, and lost markets.

Slip in compliance is a deal you lose

In today’s market, demonstrating responsible AI isn’t just a legal requirement, it’s a condition for trust on the market. Don't lose deals and hinder your growth.

Responsible AI pays for itself

Companies that govern AI effectively reduce regulatory fines, speed up approvals, and gain customer confidence. The result is higher ROI, faster market entry, and a stronger bottom line.

Who Needs to Comply?

AI laws don’t just target tech companies but every organization that builds, buys, or uses AI.

Companies that develop
or sell AI systems

Companies that develop or sell AI systems: from startups building generative models to enterprises offering AI-driven platforms.

Organizations that implement AI
in their operations

AI deployers such as banks using automated credit scoring, hospitals applying diagnostic tools, or retailers deploying AI chatbots must ensure lawful use.

High-Risk Sector Operators

For businesses in regulated industries like healthcare, finance, education, mobility, or critical infrastructure AI compliance is essential to maintaining safety standards, and market access.

Investors & Acquirers

Private equity firms, VCs, and corporate buyers conducting M&A or due diligence need to assess AI compliance risks, as hidden gaps can impact deal value, liability, and long-term growth.

AI Law Services

Tijana Žunić Marić

Nemanja Žunić

Jelena Đukanović

Anja Berić

AI Compliance & Governance

AI governance framework: policies, role definitions, inventories, risk classification, and documentation registers.
Impact & risk assessments: AI impact assessments (and DPIAs), testing plans, and model cards/technical files.
Transparency toolkits: user notices, consent patterns, labeling of synthetic media, record‑keeping.

IP Protection

Ownership strategy for models, weights, datasets, prompts, and fine‑tunes.
Licensing of training data and third‑party models/tools; content ingestion policies.
Protection of outputs (copyright/trademarks), trade‑secret hygiene, and watermarking/usage restrictions.

Personal data

Data mapping for AI (training data, prompts, outputs, feedback loops) and retention rules.
Lawful basis & transfer solutions; de‑identification/pseudonymization and re‑identification risk controls.
Vendor due diligence; terms for model providers and hosting platforms.

Technology Transactions

Build/Borrow/Buy agreements: development, licensing, and SaaS terms tailored to AI.
Allocation of risk: accuracy/safety warranties, performance metrics, benchmarking, support/SLAs.
Joint ventures and partnerships, cloud/compute agreements, and open‑source governance.

Employment & Workplace AI

Policies on employee AI use, secure prompt guidelines, and role‑based access.
Automated decision‑making safeguards in hiring, evaluation, and productivity monitoring.
Employee engagement and training programs.

M&A and Investment: AI Due Diligence

Running a AI compliance due diligence
Backed by evidence requests and verification procedures
Risk map, remediation plan, and deal‑term levers

Consumer Platform & Marketing

Product claims and fairness review
Terms of use & platform policies for AI features, synthetic media and user‑generated content.
Complaint handling and redress design.

AI is no longer just a technical tool - it is a boardroom issue. Strategic decisions about AI affect compliance, risk exposure, customer trust, and long-term competitiveness. C-level executives must understand AI not at the coding level, but at the level of law, governance, and strategy.

What AI literacy training delivers?

Clarity, not code – demystifies AI concepts so leaders can ask the right questions and spot risks early. Regulatory foresight – equips executives with knowledge of frameworks like the EU AI Act and ISO/IEC 42001, ensuring AI decisions align with legal and ethical standards.

Risk and liability awareness – highlights issues around bias, privacy, cybersecurity, and accountability that can directly affect the bottom line.

Strategic advantage – helps leaders integrate responsible AI into corporate governance, ESG reporting, and digital transformation agendas.

AI Literacy for Employees

AI is reshaping daily work – from drafting to automation. But without clear guidance, employee use can pose privacy, security, and compliance risks. AI literacy ensures innovation is used safely and aligns with company values.

What AI literacy training delivers?

Practical skills – how to use AI responsibly in daily tasks without exposing sensitive data.

Ethical awareness – understanding bias, transparency, and fairness when relying on AI-generated insights.

Compliance confidence – clarity on what employees can and cannot do with AI under company policies and regulatory frameworks.

Productivity boost – training employees to unlock efficiencies with AI tools while staying aligned with legal safeguards.

Benefits of AI Literacy Training

Discover how AI knowledge translates into real-world advantages for you and your organization

Certification

Practical knowledge

Interactive Workshop

Access to Recordings

Improved AI efficiency

Smarter AI Compliance with Whisperly AI

With Whisperly, we make EU AI Act compliance seamless -
from monitoring your AI systems and reporting to managing multiple entities across jurisdictions

Prove Compliance and get competitive edge

Monitor AI Systems in Real Time

Conduct Audits with Transparent Timeline

Forget Excel. Automate Compliance with
AI Agents.

What is ISO/IEC 42001?

ISO/IEC 42001 Certification Preparation

Are you overwhelmed by AI compliance?

If you are not sure how to start, schedule a meeting with our consultants

Most Common Questions

Why do we need AI governance at all?

AI adoption is growing, but so are the risks: bias, privacy breaches, vendor “shadow AI,” and regulatory penalties under laws like the EU AI Act or GDPR. Without governance, compliance is reactive and gaps often go unnoticed until it’s too late. Structured AI governance ensures risks are managed proactively, safeguarding both business growth and reputation.

How can Zunic Law help us comply with new AI regulations?

We combine deep legal expertise with operational and technical tools to cover the full AI lifecycle. Our legal team interprets regulations, drafts contracts, and designs governance frameworks, while our partner platform automates compliance tracking and vendor assessments, making your organization “EU AI Act–ready” and aligned with international best practices.

What does AI Literacy training include?

For executives, we focus on strategic risks, governance structures, and regulatory obligations, empowering leadership to make informed decisions. For employees, training emphasizes safe day-to-day use, prevention of “shadow AI,” awareness of internal policies, and hands-on workshops. Both tracks provide certifications and practical knowledge that help embed responsible AI across your organization.

How do operational advisory services work in practice?

We translate legal requirements into concrete business processes. That includes setting up AI system inventories, impact assessments, incident reporting databases, and technical documentation (such as model evaluation logs and governance approvals). This creates a “single source of truth” across teams, replacing ad hoc documents and siloed knowledge.

Can AI compliance really be automated?

Yes. Through our partnership with Whisperly, we deploy governance and vendor-risk platforms that automate critical tasks like risk assessments, security monitoring, documentation, and remediation workflows. This allows compliance to be continuous, and not one-off, reducing overhead and ensuring transparency across your AI supply chain.