AI USE CASE
Client Intake Notes Auto-Summarisation
Turns raw client intake emails and call notes into structured matter briefs automatically.
What it is
This use case applies LLM-based summarisation to client intake materials — emails, call transcripts, uploaded documents — and produces a standardised matter brief ready for partner review. Firms typically save 30–60 minutes per new matter, reduce handoff errors between fee-earners by 40–60%, and onboard junior staff more consistently. The structured output can feed directly into practice management or CRM systems, eliminating duplicate data entry.
Data you need
Client intake emails, call recordings or transcripts, and any uploaded documents (PDFs, Word files) from the past 6–12 months to configure templates and test extraction quality.
Required systems
- crm
- project management
Why it works
- Involve one senior partner early to define the exact brief format the team will actually use.
- Process a batch of 20–30 historical matters before go-live to validate output quality.
- Choose a vendor that keeps data within EU jurisdiction and signs a DPA, satisfying GDPR obligations.
- Appoint a non-technical 'template owner' who reviews and updates extraction prompts quarterly.
How this goes wrong
- Output templates are too generic and partners still rewrite every brief, killing adoption.
- Call recordings are inconsistently captured or stored in different formats, making ingestion unreliable.
- Sensitive client data is routed through a public LLM without legal sign-off, creating GDPR exposure.
- No designated owner maintains the prompt templates as intake questions evolve, leading to degraded quality over time.
When NOT to do this
Avoid this if your firm has fewer than five new matters per month — the setup cost and maintenance effort will outweigh the time saved at that volume.
Vendors to consider
Sources
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