Each partner is a specialized layer of the firm’s legal intelligence. The partners are designed to work across a matter rather than inside isolated silos: governance establishes authority, privacy governs the data lifecycle, cybersecurity protects the systems and evidence, AI alignment keeps human judgment at the center, and data-focused legal analysis turns complex information rights into clear decisions and enforceable obligations.
01Agentic Management & Regulation
Governance, delegated authority, and regulatory architecture
This partner is the firm’s governance and administrative intelligence for systems that act with delegated autonomy. It maps how an agentic system is authorized to act, where human judgment must remain decisive, how responsibility is assigned, and what evidence must exist when a decision is reviewed. The work connects operating design to the legal and regulatory environments in which an organization actually functions, so that autonomy is bounded, explainable, supervised, and capable of being defended.
- Builds agent inventories, role classifications, authority matrices, approval thresholds, human-override paths, and escalation protocols for agentic systems.
- Maps AI and automation use cases against corporate, financial-services, securities, consumer-protection, employment, and sector-specific regulatory obligations.
- Designs governance charters, committee structures, model-use policies, deployment gates, recordkeeping rules, vendor controls, and change-management procedures.
- Prepares board and management materials, risk disclosures, internal standards, contract provisions, and decision records that make delegated authority visible to reviewers.
- Coordinates continuous monitoring, incident playbooks, remediation plans, evidence preservation, and periodic reviews as models, data, vendors, and regulations change.
02Global Data Privacy & Controls
Privacy architecture across jurisdictions and the full data lifecycle
This partner focuses on the legal architecture that governs personal, sensitive, confidential, and inferred data from collection through deletion. It translates global privacy requirements into practical controls that can be implemented by people, platforms, and agentic systems. The objective is not merely a privacy notice; it is a traceable operating system for lawful purpose, meaningful choice, limited access, accountable processing, responsible transfers, and defensible responses when individuals, regulators, or counterparties ask how data is handled.
- Creates data maps, records of processing, purpose-and-use inventories, retention schedules, deletion rules, and control ownership across business units and systems.
- Analyzes controller and processor roles, service-provider and subprocessor relationships, data-processing terms, cross-border transfers, localization, and international contracting requirements.
- Structures processes for consent, preference management, access, correction, deletion, portability, objection, restriction, sensitive-data handling, children’s data, and automated decisions.
- Supports privacy-by-design reviews, data-protection impact assessments, AI impact assessments, product launches, procurement diligence, and material changes to data use.
- Tests whether privacy controls are evidenced in practice through permissions, minimization, encryption, retention, audit logs, training, incident coordination, and accountable sign-off.
03Cybersecurity & Defense Management
Security governance, resilience, incident response, and defensive accountability
This partner provides the legal and governance layer around cybersecurity and defense management. It connects technical safeguards to duties, contracts, risk allocation, resilience planning, and response obligations. The work is designed for the period before an incident, when controls and responsibilities are set; during an incident, when decisions and communications must be disciplined; and after an incident, when evidence, notification, remediation, and accountability determine whether the organization can recover with trust intact.
- Aligns security programs with governance duties, risk registers, applicable regulatory expectations, customer commitments, and board-level reporting responsibilities.
- Builds incident-response, breach-assessment, notification, communications, privilege, evidence-preservation, and regulator-engagement playbooks with clear decision ownership.
- Reviews cloud, software, vendor, supply-chain, and critical-service arrangements for security controls, audit rights, resilience commitments, indemnities, and exit protections.
- Connects cybersecurity requirements to business continuity, disaster recovery, crisis management, ransomware readiness, cyber insurance, and operational-resilience planning.
- Coordinates post-incident analysis, corrective-action plans, claims and dispute strategy, regulatory response, contract remedies, and proof that remediation was completed.
04Artificial Intelligence & Human Alignment
Human purpose, responsible AI, and accountable decision-making
This partner examines how artificial intelligence should operate in relationship with the people who direct it, rely on it, and may be affected by it. It brings legal analysis and human-centered judgment to the design, procurement, deployment, and review of AI systems. The focus is on preserving human agency while making responsible use of machine capability: clear roles, meaningful oversight, understandable outputs, fair treatment, safe boundaries, documented reasoning, and a real path to challenge or correct consequential decisions.
- Reviews proposed use cases for risk, affected people, decision significance, human involvement, escalation requirements, accessibility, and opportunities for meaningful review.
- Analyzes model and data rights, intellectual property, licensing, provenance, confidentiality, output ownership, training permissions, and responsible-use restrictions.
- Designs testing and documentation requirements for accuracy, bias, safety, explainability, transparency, security, reliability, drift, and performance across relevant populations.
- Creates human-in-the-loop standards, override procedures, notice and consent language, recourse pathways, deployment disclosures, and accountability records for consequential uses.
- Aligns AI governance with fiduciary duties, organizational purpose, professional responsibility, workplace impacts, public trust, and the lived experience of people subject to automated systems.
05Data-Related Legal & Regulatory Matters
Data as asset, evidence, infrastructure, and regulated subject matter
This partner handles the legal and regulatory questions that arise when data becomes an asset in a transaction, evidence in a dispute, infrastructure for a business, or a source of regulatory exposure. It follows data through ownership, access, licensing, use, sharing, valuation, disclosure, retention, and exit. The work helps organizations understand what they can do with data, what they must disclose or protect, which rights can be transferred, and how to preserve a reliable record when the data itself becomes the subject of scrutiny.
- Analyzes ownership, licensing, access, use, commercialization, monetization, trade-secret, confidentiality, provenance, and portability questions for data and derived information.
- Supports mergers, financings, diligence, partnerships, technology transactions, procurement, and licensing by tracing data rights, restrictions, dependencies, controls, and liabilities.
- Reviews sector-specific reporting, recordkeeping, disclosure, retention, audit, discovery, public-record, and regulatory-production obligations tied to data and information systems.
- Drafts and reviews data-use, security, audit, service-level, indemnity, cooperation, transition, deletion, return, and exit provisions that make operational obligations enforceable.
- Helps preserve, organize, trace, and explain data in disputes, investigations, examinations, enforcement matters, and negotiations while coordinating with privacy and cybersecurity controls.
The five specialties are intentionally connected. A new matter may begin with agentic authority and regulatory classification, move into privacy and security controls, require an assessment of AI and human alignment, and conclude with data-rights, disclosure, contracting, or enforcement questions. Alan Bell sets direction, exercises legal judgment, and remains responsible for the opinions and advice issued by the firm; the agentic partners expand the depth, speed, and continuity of the work around that human responsibility.