AI is not just changing how law firms work – it’s changing how they’re perceived. In an era of deepfakes, data leaks, and synthetic misinformation, reputation is the new attack surface. For firms built on trust, the communications response is now as critical as the technical one.  Regulators and professional bodies are warning that poorly governed AI introduces not only cyber vulnerabilities but reputational ones. From hallucinated citations in filings to confidential data leaking through public LLMs, firms face an emerging class of AI-driven incidents. Deepfake impersonations, prompt-injection exploits, and chatbot data exfiltration blur the line between cyberattack and communications crisis.  For firms whose currency is confidentiality and trust, this new threat landscape demands a new model of reputational governance – one that fuses cyber resilience with strategic communications.  AI: The cyber threat multiplier AI doesn’t just empower lawyers – it empowers threat actors. Classic cyber threats like phishing and ransomware are now being upgraded by AI’s speed, precision and ability to imitate human communication.  Deepfake-enabled impersonation and fraud The Solicitors Regulation Authority (SRA) in the UK continues to issue scam alerts involving fake solicitors. In June 2025, a fraudster used the name and image of a law firm partner to target individuals – credible enough to trigger an official SRA warning. In the US, the American Bar Association (ABA) has warned that deepfake audio and video created by AI poses real ethical and malpractice risks for law firms if manipulated content is not carefully scrutinized. Until now, these scams have relied on text and still images. But deepfake voice and video technology – now freely available – allows criminals to clone identities with alarming realism. For law firms handling high-value transactions, the risk is clear: an email or video that appears to come from a partner could be all it takes to authorize a fraudulent transfer.  In reputational terms, deepfakes turn an established cyber risk into a public-trust crisis. A convincing fake video of a senior partner could circulate before the truth is verified. The most resilient firms are beginning to adopt pre-bunking techniques and preparing deepfake response playbooks: proactively briefing clients, staff and journalists on what a fake might look like and how it will be handled if one appears.  Prompt injection and AI manipulation  Prompt injection, where malicious instructions override an AI model’s safeguards, is now identified in the The Law Society’s Generative AI: The Essentials (2025) as a credible cyber threat. Such attacks can coerce AI systems into revealing confidential information or generating misleading output.  AI-generated drafts can be mistaken externally for official firm output. A firm’s policies should require human verification and partner sign-off before anything AI-assisted goes client-facing or public.  For law firms experimenting with AI in document analysis, research or due diligence, the reputational fallout of a manipulated output could be severe. The Law Society also notes that firms should treat AI systems with the same security protocols as other IT assets – with access controls, logging, and threat testing. In communications terms, these controls also serve as credibility defences: proof that the firm governs AI use as rigorously as it governs client confidentiality. Communications teams should be embedded in the AI governance forum to shape principles, messaging and crisis playbooks alongside Risk, IT and Legal teams.  Data leakage through public AI tools  Generative AI tools process prompts in ways that may inadvertently expose data to third parties or model trainers. In the UK, The Bar Council and The Law Society have both cautioned against entering sensitive client information into public LLMs.  This is both a cybersecurity and reputation issue. If a firm was seen to have uploaded privileged data into a public AI tool, even without a regulatory breach, client trust would be at stake. Perception risk can equal impact risk: even if no regulatory breach occurs, appearing careless with client data can cause lasting trust damage.  In this environment, firms need policies that treat AI prompts as potential data transfers, governed by the same confidentiality and oversight standards as any email or server access.  These risks aren’t confined to IT systems; they reach directly into client relationships and firm reputation. Firms should consider proactive disclosure of AI usage policies in client engagement letters and on their website as a transparency measure.  The communications playbook for AI risk  1. Audit AI usage and reputational exposure Map how AI is used across the firm – including unofficial or “shadow AI” tools. Identify which uses intersect with client-facing work or public visibility. From a PR perspective, this audit doubles as a reputation map: where could AI use cause confusion, error or disclosure that might become a media issue? This process also allows firms to implement pre-bunking: anticipating and communicating about potential deepfakes, synthetic content or data misuse scenarios before they happen. By defining the “likely fake” narrative early, firms can shorten reaction time and maintain credibility when an incident occurs. 2. Revise policies and standards AI governance must be written into existing frameworks, not bolted on as an afterthought: 

• Update data privacy, vendor management, and professional standards policies to include AI usage and verification protocols
• Treat AI prompts as sensitive data inputs
• Set rules for when human verification or partner sign-off is required before AI-generated material goes client-facing
• Introduce communications policies that define how AI use is disclosed and explained externally

Transparency itself is a reputational defense: when clients and journalists ask, “How do you use AI?”, a clear, pre-approved message reinforces confidence.

3. Educate and train across departments

AI literacy should be integrated into professional development. Lawyers and support staff must understand both the cyber and reputational consequences of misuse. The Law Society notes that generative AI should be used “with human oversight and verification at all times.” Equally, scenario-training conducted by a communications team is vital, covering how to verify and respond if a deepfake or AI-driven rumor surfaces. Internal rehearsals of these scenarios ensure the firm’s messaging is consistent and confident. 4. Plan for the AI-driven crisis

AI incidents unfold fast – a video spreads, a prompt leaks, or a chatbot output goes public. A pre-defined crisis plan is essential. Integrate legal, IT and communications teams from the start. Agree escalation protocols and prepare holding statements for different incident types. In this context, strategic communications are not secondary; they are core to cyber defense. A well-handled message can preserve client trust even when systems are under pressure. 5. Use AI to respond – “AI talking to AI”

AI can also enhance incident response. Firms are beginning to use AI tools for continuous monitoring – detecting synthetic media, tracking fake domains, or analysing social sentiment to identify emerging disinformation. In practice, AI systems are helping to detect, verify and even draft the initial communications response, i.e. AI helping to counter AI. When used ethically and with human review, these tools can strengthen both cyber resilience and reputational agility. Communicating openly about this use of AI helps firms show transparency and control, i.e. this use of AI not only protects data, but helps protect trust. 

From compliance to reputational advantage 

Clear, proactive communication is a core pillar of AI risk management, not just a support function. 

Regulators internationally have been explicit: firms remain fully responsible for how AI is used within their organization.  

For forward-thinking firms, recognizing AI as a new hybrid threat – part cyber, part reputational – is critical. Clients increasingly ask not just whether their lawyers use AI, but how that use is governed and communicated. 

In an environment where cyber threats evolve as fast as the technologies they exploit, this convergence demands a new kind of response – one that fuses technical resilience with reputational governance. Firms must integrate cybersecurity, communications and leadership into a single strategy.

This is not just brand protection; it is reputation management in the AI era. Clear, confident communication becomes the frontline of defense, ensuring trust is preserved even under pressure.