In collaboration with AI Gov Institute

LES & Partners - AI Governance, Regulation & Legal Compliance

LES & PARTNERS

AI GOVERNANCE, REGULATION & LEGAL COMPLIANCE

Governing Artificial Intelligence with Legal, Regulatory and Commercial Precision

AI Strategy AI Regulation AI Legal AI Privacy AI Risk AI Governance

Key Message: LES & Partners provides high-end, specialized legal, regulatory, and governance advisory to help client organizations navigate artificial intelligence safely and strategically.

How We Work: We act as corporate counsel and regulatory architects, bridging the gap between technical AI execution, enterprise risk management, and statutory legal obligations.

Client Value: Eliminates structural legal exposure, prevents unmanaged operational risk, and enables confident, compliant corporate AI adoption.

Our AI Governance & Legal Consultancy

Six core pillars of corporate advisory

01. AI STRATEGY

Aligning corporate AI deployment with organizational objectives, ethical frameworks, liability limits, and long-term risk appetite.

02. AI REGULATION

Navigating evolving cross-jurisdictional legal frameworks, including the EU AI Act, national regulatory enforcement, and sector standards.

03. AI LEGAL

Structuring commercial contracts, IP protection frameworks, liability allocations, and regulatory interface protocols.

04. AI PRIVACY

Ensuring data protection compliance across model training, input data flows, automated processing, and GDPR rights execution.

05. AI RISK

Systematic identification, assessment, and remediation of operational, technical, bias, cybersecurity, and legal risks.

06. AI GOVERNANCE

Designing internal oversight bodies, approval gateways, operational controls, policy ecosystems, and accountability structures.

Key Message: AI governance requires an integrated, multi-disciplinary legal approach rather than isolated technical fixes or static policies.

How We Work: LES & Partners operates across six core functional pillars, converting informal AI usage into a controlled enterprise function.

Client Value: Clients receive a complete 360-degree legal and regulatory protective canopy across their entire organization.

The AI Governance Lifecycle

From initial discovery to continuous assurance

01DiscoverIdentify all active, shadow, third-party, and embedded AI applications across operations.

02InventoryEstablish the comprehensive institutional AI System Inventory and corporate Register.

03ClassifyMap systems against statutory regulatory regimes (e.g., EU AI Act risk tiers) and corporate exposure.

04AssessExecute holistic risk assessments: privacy (DPIA), IP, security, employment, and liability.

05GovernDefine oversight roles, approval gateways, unacceptable use boundaries, and operational controls.

06ContractReview and restructure vendor contracts, SaaS terms, API agreements, and IP assignments.

07ImplementEmbed technical controls, human oversight protocols, and incident escalation pathways.

08TrainDeliver tailored workforce training on acceptable use, risk awareness, and compliance protocols.

09MonitorTrack ongoing model performance, vendor changes, regulatory evolution, and legal developments.

10Audit & ImproveConduct periodic governance audits, update policy frameworks, and re-assess risk profiles.

Key Message: AI governance is not a static document delivery; it is a continuous operational process embedded across the technological lifecycle.

How We Work: We guide clients through a structured 10-stage methodology that adapts to new tools, vendors, and regulatory amendments.

Client Value: Ensures sustainable compliance, prevents drift, and provides auditable legal evidence of due diligence.

Building an AI Governance Operating Model

Maturity assessment & remediation roadmap

GOVERNANCE MATURITY SPECTRUM

AD HOC: Unmanaged adoption, shadow AI, no centralized tracking or risk awareness.

DEVELOPING: Basic acceptable use guidelines, isolated privacy assessments.

STRUCTURED: Formal AI inventory, standardized vendor reviews, defined policies.

CONTROLLED: Integrated oversight board, automated monitoring, clear legal controls.

MATURE: Continuous assurance, dynamic risk management, executive oversight.

CORE DIAGNOSTIC SCOPE

Current AI usage & Shadow IT exposure
Existing policy coverage & structural gaps
Vendor contractual protections & data terms
Data protection & GDPR compliance posture
Cybersecurity & credential leakage risk
Regulatory exposure under regional laws

KEY CONSULTANCY DELIVERABLES

• AI GOVERNANCE GAP ANALYSIS • AI GOVERNANCE REMEDIATION ROADMAP • TARGET OPERATING MODEL DESIGN

Key Message: Effective AI governance must be tailored to an organization's specific maturity level and risk exposure—avoiding over-engineering.

How We Work: We conduct a comprehensive institutional baseline diagnostic and build a pragmatic, phased remediation roadmap.

Client Value: Provides clear executive visibility into existing compliance gaps and a structured path to legal maturity.

Turning AI Principles into Organisational Rules

Tailored AI policy ecosystems

GOVERNANCE

AI Governance Policy
Responsible AI Principles
AI Roles & Responsibilities
AI Approval Gateways
Executive Oversight Charter

EMPLOYEE USE

Generative AI Acceptable Use
Employee AI Work Guidelines
Workplace AI Usage Policy
Shadow IT Prevention Rules

RISK & CONTROL

AI Risk Management Policy
Testing & Validation Standards
Ongoing Model Monitoring
AI Incident Escalation Policy

DATA & SECURITY

AI Data Governance Policy • AI Privacy & GDPR Rules • AI Input/Output Security Standard

TRANSPARENCY & ACCOUNTABILITY

AI Disclosure Standards • Human Oversight Requirements • AI System Documentation Rules

Key Message: High-level ethical principles are insufficient; legal compliance requires enforceable, specific organizational rules.

How We Work: We draft bespoke policy ecosystems tailored precisely to employee workflows, technical stacks, and industry regulations.

Client Value: Transforms vague AI ambitions into clear, legally binding operational standards for management and staff.

Know What AI Your Organisation Actually Uses

System inventory & institutional registers

An operational AI System Register captures critical legal, technical, and commercial parameters for every deployed tool:

System / Tool	Vendor / Provider	Business Owner	Data Processed	Risk Tier	DPIA Status	Approval
Enterprise Copilot	Microsoft	Legal / HR	Internal Documents	Low / General	Completed	Approved
CV Screening AI	Third-Party SaaS	Talent Acquisition	Candidate Data / Personal	High Risk	Required	Under Review
Customer Bot	In-House / API	Customer Support	Customer Queries	Transparency Req.	Completed	Approved
Code Assistant	Open-Source Tool	Engineering	Source Code / IP	Medium Risk	Pending	Conditional

AI SYSTEM INVENTORY

Complete record of active tools and platforms.

AI VENDOR REGISTER

Contractual, terms, and subprocessor mapping.

AI RISK REGISTER

Documented risk scores and mitigation tracking.

AI INCIDENT REGISTER

Logs of breaches, errors, and system failures.

Key Message: You cannot manage regulatory compliance or legal liability for software assets you haven't tracked or inventoried.

How We Work: We deploy structured discovery mechanisms to audit operations and build comprehensive, maintainable AI registers.

Client Value: Creates single-source-of-truth governance visibility required by regulators, auditors, and executive boards.

AI Regulation & EU AI Act Readiness

Structured regulatory classification & compliance advisory

ASystem MappingMap target system capabilities, technical architecture, and deployment context.

BRole DeterminationIdentify statutory status: Provider, Deployer, Importer, Distributor, or Integrator.

CRisk ClassificationClassify system: Prohibited, High-Risk (Annex III/II), Transparency-only, or Minimal Risk.

DGap AssessmentEvaluate technical documentation, risk management, quality systems, and logging against rules.

ERemediationDraft conformity documentation, human oversight structures, and governance controls.

REGULATORY SERVICES

Provider vs. Deployer legal analysis
High-Risk system conformity pathways
Prohibited practices risk auditing
GPAI & downstream model obligations

STATUTORY QUALIFICATION

"Regulatory obligations depend on the applicable legal framework, organizational role, system architecture, use case, and specific target jurisdiction. Compliance is a contextual legal determination."

Key Message: Navigating complex regulations like the EU AI Act requires precise legal qualification, not superficial compliance checklists.

How We Work: We conduct rigorous statutory role determinations and risk-tier classifications to define exact legal obligations.

Client Value: Prevents massive regulatory fines while avoiding unnecessary compliance costs on low-risk systems.

Identifying the Legal & Business Risks of AI

Comprehensive risk taxonomy & assessment architecture

LEGAL & REGULATORY RISKS

Statutory BreachRegulatory FinesContractual LiabilityIP InfringementUnlawful Data Use

DATA & PRIVACY RISKS

GDPR Non-ComplianceModel Data LeakageUnauthorised ProfilingRe-Identification

OPERATIONAL & ETHICAL RISKS

Algorithmic BiasDiscriminatory OutputsHallucination / ErrorVendor Lock-In

SECURITY & WORKFORCE RISKS

Prompt InjectionCredential ExposureLabour DisputeReputational Harm

RISK ASSESSMENT METHODOLOGY & OUTPUTS

IDENTIFY → ASSESS → PRIORITISE → MITIGATE → DOCUMENT → MONITOR

Key Message: AI introduces multi-dimensional risks that extend far beyond standard IT risks into complex legal, regulatory, and ethical domains.

How We Work: We apply a rigorous risk taxonomy to audit systems and generate actionable, prioritized risk mitigation reports.

Client Value: Protects executive leadership and corporate brand value through systematic risk reduction.

AI, Personal Data & Privacy

Navigating the intersection of artificial intelligence and GDPR

CORE COMPLIANCE DOMAINS

Lawful Basis Analysis: Legitimate interest vs. consent for model training and deployment.
Purpose Limitation & Minimisation: Restricting secondary uses of ingested operational data.
Automated Decision-Making: Compliance with GDPR Article 22 human intervention mandates.
Data Subject Rights: Managing rights to erasure, rectification, and objection in AI models.

TECHNICAL DATA ADVISORY

Controller / Processor Roles: Defining liability in complex cloud AI architectures.
International Data Transfers: Assessing cross-border transfers via vendor APIs.
Special Category Data: Safeguards against accidental processing of sensitive data.
Anonymisation Audit: Assessing robustness of technical sanitisation routines.

DATA PROTECTION DELIVERABLES

• AI DATA PROTECTION IMPACT ASSESSMENT (DPIA) • AI DATA FLOW MAP • ART. 22 ADM ASSESSMENT

Key Message: Data protection authorities are actively using GDPR enforcement against unauthorized AI training and processing.

How We Work: We conduct specialized AI DPIAs and structure data flow architectures that satisfy European privacy regulators.

Client Value: Ensures continuous compliance with data protection laws while enabling privacy-preserving AI innovation.

AI Contracts: Allocating Legal & Commercial Risk

Commercial drafting, negotiation & contractual risk management

AI procurement connects complex supply chains: Client ↔ AI Vendor ↔ Model Provider ↔ Cloud Host ↔ Subprocessors

CONTRACT TYPES REVIEWED

Enterprise AI SaaS & Licensing Terms
AI Model & API Integration Agreements
Custom AI Software Development Contracts
AI Implementation & Consultancy Terms

CRITICAL CLAUSES NEGOTIATED

Data Rights: Strict prohibition of customer data for vendor model training.
IP Ownership: Clean transfer/licensing of generated outputs and prompts.
Indemnities: Third-party IP infringement protection for AI outputs.
Service Levels: Performance, hallucination limits, and model drift warranties.

Key Message: Standard IT vendor contracts are wholly inadequate for managing unique AI risks, such as training data rights and output IP indemnities.

How We Work: We draft bespoke AI schedules and negotiate aggressive contractual protections across all vendor procurement tiers.

Client Value: Prevents enterprise data loss, limits third-party liability, and secures clear corporate IP ownership.

Before You Buy an AI System

Structured vendor vetting & procurement assurance framework

01. DATA & PRIVACY

Where is data hosted and processed?
Is customer data used for model training?
Are subprocessors fully mapped?
How is data deleted on termination?

02. SECURITY & ARCHITECTURE

Are access controls & encryption robust?
How are prompt injection risks mitigated?
What incident response protocols exist?
Are security audits regularly executed?

03. LEGAL & REGULATORY

Who owns inputs, prompts, and outputs?
Does the vendor provide IP indemnities?
Is the system compliant with AI regulations?
What audit rights are granted to clients?

PROCUREMENT DELIVERABLES

• AI VENDOR DUE DILIGENCE REPORT • AI VENDOR RISK SCORECARD • PROCUREMENT CHECKLIST

Key Message: Third-party software vendors represent the primary source of enterprise AI legal exposure today.

How We Work: We execute thorough, structured legal and technical due diligence before contracts are signed.

Client Value: Ensures third-party AI software meets enterprise regulatory and security standards prior to integration.

AI, Intellectual Property & Ownership

Navigating copyright, training data, and output rights

THE IP CHAIN: Training Data Inputs ↔ Model Architecture ↔ Prompts / Context ↔ Generated Outputs ↔ Commercial Exploitation

INBOUND IP RISKS

Training data copyright infringement liability
Open-source software licence contamination
Trade secret exposure via public model prompts
Unauthorised incorporation of third-party IP

OUTBOUND IP ASSURANCE

Enforceability of ownership over AI-generated assets
Employee vs. contractor AI creation ownership
Structuring human-in-the-loop creative processes
Trade secret protection for fine-tuned models

Key Message: AI models create legal risk regarding both the inputs used (copyright infringement) and the outputs generated (lack of ownership).

How We Work: We audit creative/code workflows, establish IP protection protocols, and secure clear commercial usage rights.

Client Value: Protects corporate IP assets while mitigating catastrophic third-party infringement claims.

AI in the Workplace

Workforce governance, HR analytics & employment law compliance

01RecruitmentAutomated CV screening, applicant tracking systems, and video analysis tools.

02EvaluationPsychometric profiling, candidate ranking, and automated competency scoring.

03ManagementPerformance analytics, productivity tracking, and algorithmic work distribution.

04RetentionFlight-risk scoring, promotion recommendation engines, and redundancy selection.

KEY EMPLOYMENT LEGAL RISKS

Algorithmic bias & statutory discrimination claims
Unlawful employee monitoring & privacy violations
Lack of transparency in promotion/dismissal decisions

HR GOVERNANCE DELIVERABLES

AI Recruitment & Workplace Policies
HR Automated Decision-Making DPIA
Employee AI Transparency Notices

Key Message: Deploying AI tools in HR creates extreme exposure to employment discrimination claims and privacy enforcement.

How We Work: We audit algorithmic hiring/monitoring tools for bias, privacy compliance, and labor law consistency.

Client Value: Prevents costly employment litigation, regulatory scrutiny, and union/works council disputes.

Governing Generative AI at Work

Converting informal experimentation into controlled enterprise adoption

ENTERPRISE TOOL ECOSYSTEM

ChatGPT Enterprise Claude MS Copilot Gemini GitHub Copilot Internal LLMs

GOVERNANCE CONTROLS

Classification of data permitted in prompts
Mandatory human review of generated outputs
Prohibition of client/confidential data entry
Mandatory disclosure of AI-generated content

OPERATIONAL DOCUMENTATION

Generative AI Acceptable Use Policy: Clear rules on permissible and forbidden use cases.
Prompting & Data Input Guidelines: Practical staff guidance for safe interaction.
Output Validation Standards: Verification procedures to eliminate hallucination risks.
Incident Escalation Pathway: Protocol for reporting accidental data disclosures.

Key Message: Employee use of public or consumer Generative AI tools creates immediate trade secret and personal data leakage risks.

How We Work: We establish clear operational boundaries, acceptable use rules, and mandatory human review standards.

Client Value: Enables staff to leverage productivity gains without exposing the firm to severe data breaches or liability.

Governing AI Agents & Autonomous Systems

Oversight frameworks for autonomous, decision-making software

Autonomous AI agents require strict legal boundaries established across five fundamental control vectors:

1. ACTION SCOPE

What physical or digital actions is the agent authorized to execute autonomously?

2. DATA ACCESS

What databases, APIs, and systems is the agent permitted to read, modify, or delete?

3. FINANCIAL AUTHORITY

What monetary limits or transactional thresholds bind agent decisions?

4. HUMAN APPROVAL

At what exact decision branch must a human supervisor sign off?

5. LOGGING & AUDIT

How are agent reasoning chains and execution logs securely stored?

6. FAILSAFE & SHUTDOWN

What emergency override protocols exist if the agent malfunctions?

Key Message: As AI transitions from static prompts to autonomous agents, corporate legal liability increases exponentially.

How We Work: We design hard authority boundaries, human-in-the-loop checkpoints, and logging frameworks for agentic deployments.

Client Value: Prevents uncontrolled legal liability and operational disruption caused by autonomous system actions.

AI Security & Incident Management

Threat mitigation, breach response & regulatory reporting

AI CYBERSECURITY THREATS

Prompt Injection: Malicious manipulation of LLM instructions.
Data Poisoning: Corruption of model training/fine-tuning sets.
Credential Leakage: Exposure of API keys or user tokens.
Shadow AI: Unmonitored employee deployment of external tools.

INCIDENT TYPOLOGIES

Unauthorised submission of proprietary data to public LLM
Algorithmic failure generating catastrophic business error
Mass personal data disclosure via model vulnerability
Deepfake or synthetic media security compromise

INCIDENT RESPONSE DELIVERABLES

• AI INCIDENT RESPONSE POLICY • INCIDENT REPORTING FORM • REGULATORY NOTIFICATION PROTOCOL

Key Message: AI security vulnerabilities require rapid legal containment, regulatory breach notifications, and forensic analysis.

How We Work: We draft specific AI incident response procedures and advise on statutory regulatory disclosure requirements.

Client Value: Ensures swift containment of security breaches and limits exposure to regulatory fines.

Accountability, Transparency & Human Oversight

Building defensible disclosure standards and supervisory structures

TRANSPARENCY FRAMEWORK

Customer Disclosures: Clear notice when users interact with synthetic AI agents/chatbots.
Content Labelling: Watermarking and metadata tagging for AI-generated text, audio, and media.
System Documentation: Plain-language explainability documentation for impacted individuals.

HUMAN OVERSIGHT FRAMEWORK

Meaningful Control: Structuring human review so it is active and analytical, not a rubber stamp.
Override Authority: Defining operational power and clear pathways to reverse AI decisions.
Escalation Thresholds: Triggers for mandatory executive or legal sign-off on AI outputs.

Key Message: Regulators increasingly require clear consumer disclosure and "meaningful" human oversight—superficial oversight fails legal scrutiny.

How We Work: We design legal disclosure notices and structure operational human oversight frameworks that stand up to regulatory audit.

Client Value: Fulfills statutory transparency mandates while protecting public trust and commercial brand equity.

From Documentation to Continuous Assurance

Auditing, RAG scoring & ongoing regulatory updates

ANNUAL GOVERNANCE AUDIT

Independent assessment reviewing enterprise compliance across:

Policy adherence & employee training completion
AI Register accuracy & new tool discovery
Vendor contract compliance & subprocessor changes
Data protection alignment & DPIA updates

RECURRING ASSURANCE CALENDAR

MONTHLY / QUARTERLY: Legal horizon scanning, compliance alerts, new use-case vetting, and vendor risk reviews.

ANNUALLY: Full governance audit, inventory refresh, policy overhaul, and executive board reporting.

ASSURANCE DELIVERABLES

• AI GOVERNANCE AUDIT REPORT (RAG RATED) • QUARTERLY COMPLIANCE ALERTS

Key Message: AI technology and legal regulations evolve rapidly; static compliance policies become obsolete within months.

How We Work: We conduct periodic audits and provide continuous legal updates to ensure ongoing organizational alignment.

Client Value: Maintains dynamic compliance and ensures executive boards remain fully informed of emerging legal exposures.

Your External AI Governance Function

Ongoing managed advisory, monitoring & legal support

MANAGED SERVICE MODEL: LES & Partners acts as your retained, external AI Legal, Regulatory & Governance Officer.

MONTHLY RETAINER

Continuous legal horizon scanning
New AI use-case risk reviews
Vendor contract legal reviews
Incident response support
Register maintenance

QUARTERLY ASSURANCE

Governance committee reviews
Quarterly risk dashboarding
Policy adjustments & updates
Vendor re-assessments

ANNUAL OVERHAUL

Comprehensive AI audit
Full inventory re-certification
Executive board reporting
Workforce training refresh

Key Message: Most organizations lack dedicated internal legal expertise to handle complex AI regulatory requirements continuously.

How We Work: We provide a seamless, retained consultancy service acting as an extended specialist legal and compliance function.

Client Value: Cost-effective access to top-tier legal, regulatory, and technical governance expertise on a predictable retainer.

One Governance Framework. Multiple AI Risks.

Complete institutional capability summary

LES & PARTNERS CENTRAL AI GOVERNANCE HUB

AI Strategy AI Regulation AI Legal AI Privacy & GDPR AI Risk Management AI Contracts AI Procurement AI Cybersecurity AI Workforce AI Intellectual Property AI Transparency Human Oversight Incident Response Continuous Audit

"Helping organisations use artificial intelligence with greater legal clarity, regulatory awareness, governance discipline and accountability."

Key Message: LES & Partners provides an end-to-end legal and regulatory safety net covering all aspects of enterprise AI deployment.

How We Work: We bring structured, professional advisory disciplines to help corporate boards innovate safely and legally.

Client Value: Complete peace of mind, regulatory readiness, and sustainable commercial leadership in the age of AI.

AI Policy & Regulatory Advisory