Legal secretaries
Legal secretaries file and maintain legal and other records, transcribe notes and dictation into typewritten form and perform other routine clerical tasks in legal practices.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
types letters and legal documents such as wills and contracts
AI tools like Microsoft Copilot and ChatGPT can draft standard legal documents, letters, wills, and contracts from templates or prompts, requiring only human review for accuracy and compliance.
sorts and files correspondence and carries out general clerical work
AI-powered document management systems like iManage or NetDocuments can automatically classify, sort, and file correspondence with minimal human input, using pattern recognition and metadata tagging.
maintains court and clients’ records, organises diaries and arranges appointments
AI-powered practice management tools like Clio or Lawcus can automate diary scheduling and record organisation, but human judgment is still needed for prioritisation and client-specific nuances.
attends meetings and keeps records of proceedings
Tools like Otter.ai can transcribe meetings automatically and generate summaries, significantly reducing manual note-taking effort, though human review ensures legal accuracy and context.
answers enquiries and directs clients to appropriate experts
AI chatbots can handle routine initial enquiries and signposting, but complex or sensitive client interactions still require human empathy, discretion, and legal knowledge to direct appropriately.
delivers and collects documents
Physical document delivery and collection requires human presence and cannot be automated by AI, though route planning apps can marginally assist with logistics.
ROI Calculator
Legal secretaries
This is not a pay rise — it's 855 hours of productive capacity that AI could return to you, valued at your current rate.
The portion of your current salary tied to tasks AI can automate or augment. Not a prediction of job loss — a signal of where your role is changing fastest.
How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.