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Results (48)
Service
AI Strategy, Readiness & Roadmap
Assess organisational readiness and capability for a proposed AI use in your business context. Align leaders, prioritise opportunities and plan people, responsibilities, resources and business value. Compare data readiness, supplier selection and investment options; define intended agent actions and technical dependencies.
Service
AI Governance & Use-Case Portfolio
Design an AI operating model connecting business, HR, IT and risk. Clarify decision rights, accountable ownership and portfolio management from proposal to everyday operation. Define agent action boundaries, permissions, approvals and evidence, with recurring reviews of value, work impacts and safeguards.
Service
Workflow Design & Pilot Evaluation
Design a workflow pilot with employee participation, explicit work and role impacts, and enough human review capacity. Evaluate quality, total effort and workload against a baseline before transition into everyday operation. Specify data readiness and integration needs; test agent permissions, approval boundaries, pause, revocation and recovery.
Service
AI Capability, Change & Adoption
Build organisational AI capability through change management, stakeholder and change-impact assessment, leadership and role-specific learning, manager support and communication. Involve employees, practise safe AI use and review sustained adoption against agreed measures. Practise approval, challenge, stop and escalation of AI agent actions.
Service
ISO/IEC 42001 Readiness Diagnostic
Review management-system readiness using the shared AI use-case register, accountable ownership, supplier reviews and improvement actions before independent certification work. Include relevant AI agent permissions, action records and control tests in the evidence review.
Service
AI & Privacy Incident Readiness
Prepare incident ownership, supplier escalation, evidence preservation and a practical rehearsal. Feed validated lessons into portfolio decisions, improvement actions and role-specific training. Rehearse AI agent access revocation, action-log preservation and reauthorisation after recovery.
Assessment
AI readiness check
Seven questions about your team’s current AI practices, from tools and data to training and oversight.
Assessment
AI Risk Check
A guided assessment of a specific AI use case and the risks, responsibilities and safeguards that need attention.
Assessment
Decision Lab
Join Lena and Noah through a Monday queue, where an order question, a damaged item, and a personal data request need different kinds of care. Make five decisions, follow the consequences, and take as long as you need to read each result.
Worksheet
AI vendor review worksheet
Review AI suppliers and AI agent permissions, total cost, activity evidence, revocation and exit before purchase.
Worksheet
AI pilot planning worksheet
Test one workflow and its AI agent action boundaries, human approvals, pause, revocation and recovery.
Worksheet
Monthly AI governance review agenda
Review AI and AI agent changes, completed actions and control effectiveness; reassess before changed operation.
Worksheet
AI strategy and business-case worksheet
Compare AI opportunities and AI agent authority constraints, business costs and responsible technical specialists.
Worksheet
AI use-case register
Record AI uses and AI agent authority: owners, permitted actions, tool permissions, approvals and activity evidence.
Article
EU AI Act Transparency Requirements: What Article 50 Means in Practice
Article 50 is now applicable. Learn which AI interactions and outputs need machine-readable marking or human-facing disclosure, by whom, and when.
Article
EN 18274:2026: What the New AI Ethicist Competence Standard Means for Organisations
Europe now has a published competence standard for professional AI ethicists. The practical question is how organisations turn the role into credible governance, decision support and evidence.
Article
EN 18286:2026: What the New AI Quality Management Standard Means for Article 17
EN 18286:2026 gives providers of high-risk AI systems a European quality-management reference for the EU AI Act. The practical task is to connect legal obligations, product controls and evidence without building a parallel bureaucracy.
Article
The AI Governance Operating Rhythm: What to Review Each Month
Turn AI and agent changes into owned decisions, completed actions and evidence that controls work, with reassessment before materially changed operation.
Article
AI Literacy Is Now an Operating Requirement
Connect AI literacy to the tasks people perform, the evidence they must check and the current EU AI Act duty to support its development.
Article
Human Review in AI Workflows: A Practical Governance Pattern
Give reviewers the evidence and authority to approve, challenge or stop AI and agent actions before they affect people or records.
Article
AI Use Policies: Test the Rules in Daily Work
A practical AI-use policy connects approved tasks, data boundaries, review and escalation. Test whether the team can apply it to real work.
Article
AI Vendor Review: Questions Before Procurement
Decide whether an AI supplier fits the work, total cost and agent permissions, with demonstrable controls, usable evidence and an exit route.
Article
From AI Pilot to Practice: Closing the Adoption Gap
Moving from an AI pilot to daily work requires evidence about ownership, review, data and complete effort. Define those conditions before expanding access.
Article
Swiss LLMs, Sovereign AI, and Governance in DACH
Assess Swiss-associated models through their actual service, data flows, legal coverage and tested task performance. A national label does not establish compliance.
Article
EU AI Act: Which Legal AI Systems Are High-Risk?
Classify legal AI by its intended purpose and role under Article 6 and Annex III, then identify the applicable obligations and dates.
Article
GDPR and AI Data Processing: What Law Firms Must Document
Identify the GDPR records, assessments and breach procedures that apply to the actual personal-data processing in an AI workflow.
Article
AI for Debt Rehabilitation: Legal Implications
What an AI debt-support prototype can suggest, what research establishes, and how to evaluate assistance without assuming improved financial outcomes.
Article
AI Financial Coaches and Sustainable Finance Law
Examine AI financial coaching as an exploratory workflow for sustainable finance, with evidence checks, clear responsibilities and a scoped legal assessment.
Article
When AI Copies Your Style: IP in the AI Era
Distinguish stylistic resemblance, copied expression, misleading attribution and training use before choosing a legal response to AI imitation.
Article
AI, Copyright, and Art: What the Law Protects
Separate human authorship, third-party rights and contracts when reviewing AI-assisted art, with distinct Swiss, EU and US sources.
Article
AI Comics for Bioethics: Legal Implications
A bioethics comic offers a format to test for understanding and participation. Separate the case-study evidence from legal duties and claims of public consensus.
Article
LLMs and Legal Design for Health Data Access
Assess LLM-assisted health explanations alongside current access rights, EHDS phases and evidence about readability and clinical errors.
Article
GenAI and the Future of Contracts as Strategy
Explore AI-assisted contract design through proposals and research on comprehension, while checking source obligations and operational meaning.
Article
Privacy by Design for Emotional AI Robots
Robots that infer emotion raise questions about measurement, lawful processing and usable privacy choices. Consent is not the only possible legal basis.
Article
Legal AI: Evaluating Efficiency and the Rule of Law
Evaluate legal AI through accuracy, access, complete effort and procedural rights, with evidence about the actual service and applicable duties.
Article
GenAI in Contract Management: A Reality Check
Compare generative contract tools with research on defined tasks, and test jurisdiction, source accuracy and full review effort before relying on a draft.
Article
Bridging the Contract Implementation Gap with AI
AI can help draft contract implementation guides. Verify obligations, preserve source links and test the guide with the people who must use it.
Article
No More Magic Spells: Plain Language Contracts
Research supports making contracts easier to understand. Use plain language and AI-assisted drafts while verifying meaning, legal effect and reader comprehension.
Article
E-Discovery and Predictive Coding for Law Firms
Technology-assisted review can help prioritise document-heavy legal work. Its value depends on independent validation, confidentiality and the actual procedure.
Article
AI in M&A Due Diligence: Faster, Deeper, Riskier?
AI can support M&A document review. Evaluate missed issues, source verification and total effort before promising faster or broader due diligence.
Article
GDPR and EU AI Act Compliance for Legal and Professional Services
How legal and professional-service organisations can navigate overlapping GDPR and EU AI Act obligations when deploying AI tools in sensitive or client-facing work.
Article
Building an AI Governance Framework for Legal and Professional Services
A practical AI governance framework for teams handling confidential work, regulated decisions, and professional accountability.
Article
AI Adoption in Legal and Professional Services: A Governance Guide
Evaluate AI tools for legal and professional work through task-specific evidence, data controls, human review and applicable duties.
Article
AI Legal Research Tools for Swiss and German Firms
Evaluate legal research AI through source coverage, multilingual retrieval, verified answers and complete review effort for your Swiss or German practice.
Article
Contract AI: What Actually Works (and What Doesn't)
Evaluate AI-assisted contract work through bounded tasks, original-source checks and the complete effort of review and correction.
Article
AI and the Billable Hour: Evaluating Legal Pricing
How to evaluate pricing and complete review effort when introducing AI assistance into legal work.
Article
Tomorrow’s Legal Profession: Planning with Evidence
Turn Susskind’s future-of-law questions into a testable service strategy, with evidence about client need, quality, full cost and staff capability.
Article
The End of Lawyers? Revisiting Susskind’s Forecast
Revisit Susskind’s forecast alongside research on legal tasks, separating measured changes from predictions about jobs, firms and demand.