Automation
The problem
Staff retyped the same letters for every matter, which was slow and invited small errors in names and dates.
What we did
- Turned the firm’s most-used letters into templates with named fields.
- Generated letters from case data and queued them for a lawyer to approve.
- Kept a record of who approved and sent each letter.
- Ran one revision round on templates after the first week of real use.
The outcome
- Hours of weekly typing removed.
- Fewer errors in names, dates and amounts.
- Every letter has an approval record.
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