Evidence strategy
Identifying which electronic records matter, where they may exist, how they should be preserved and how they relate to the legal elements of the claim or defence.
Screenshots, messages, logs and AI-generated outputs can be important, but their legal value depends on origin, integrity, context, preservation and the rules of the forum.
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How the practice helps
Authenticity & integrity
Assessing attribution, metadata, chronology, alteration risks and the technical or documentary support needed to establish reliability.
AI governance & contracting
Reviewing the allocation of responsibility, data use, confidentiality, oversight, intellectual property and risk in the deployment or procurement of AI systems.
AI-related civil liability
Analysing responsibility for automated outputs or decisions by separating the roles of developer, provider, deployer, professional user and affected person.
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Legal context
Digital material becomes evidence only through a disciplined legal process.
The value of electronic evidence is not determined by format alone. Courts examine reliability, attribution, integrity and relevance within the applicable procedural framework. AI introduces an additional layer: the facts may involve opaque systems, multiple actors, foreign providers and uncertainty about who controlled the relevant risk.
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Frequently asked questions
Direct questions deserve precise answers.
Is a screenshot sufficient evidence?
A screenshot may be useful, but its weight depends on context, attribution, completeness, integrity and corroboration. Preserving the original device, account data, metadata and surrounding communications can be critical.
Who is liable when an AI system causes harm?
Liability depends on the facts and applicable law. The analysis may distinguish among the developer, provider, deployer, professional user and other actors, and examine control, foreseeability, fault, contract and causation.
Should a business adopt an AI policy?
Where AI is used materially, a proportionate policy can clarify approved tools, confidential-data limits, human review, recordkeeping, intellectual-property concerns and responsibility for outputs.
Professional enquiries
Discuss the legal structure of your digital matter.
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General information only. This page does not constitute legal advice and does not create an attorney–client relationship.