Solutions

AI automation for law firms

Blash AI is the artificial-intelligence division of Blash Advisory, a London-headquartered corporate finance and advisory firm building AI automation for law firms across the UK, EMEA and the Far East.

Legal work is document and knowledge heavy, and confidentiality is not optional. We automate the drafting and intake with citations, approval steps and a full audit trail.

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Up to 25 hrs saved per case where firms put knowledge behind retrieval Sector benchmarks
Every answer cited back to the source document
Permissioned so client confidentiality holds
Where the time goes
  • Intake read and summarised by hand for every matter
  • First drafts started from a blank template each time
  • Knowledge and precedent scattered across folders and inboxes
What we build
  • Intake summarisation into a structured matter view
  • First-draft templates from structured notes
  • Matter updates with approval steps
  • Knowledge and precedent retrieval with citations
  • Confidentiality controls and a full audit trail
Start here

Intake summarisation, first-draft templates from structured notes, and matter updates, always with approval steps, audit trails and confidentiality controls.

Recommended build: Core Workflow Setup, moving to Managed AI Operations for larger or multi-matter rollouts. See the builds →

Proof

What this looks like in practice

Legal services

Structured matter intake for a law firm

Fee-earners received cleaner intake packs while legal judgement stayed with the lawyer.

72%fewer incomplete intake packs
90 minutesaverage time to first internal summary, down from 24 hours
Legal services

Building matter chronologies from unstructured documents

Matter files became easier to review and chronology preparation moved from manual drafting to exception checking.

80%documents classified before paralegal review
4 hoursfirst chronology draft, down from roughly 2 days
See all proof →
Questions
Is AI appropriate for a law firm?

Yes, when it cites its sources, keeps a human in the loop, and runs inside confidentiality controls. We build to that standard.

How is client confidentiality protected?

Permissions are enforced at retrieval, data handling follows your policy, and every action is logged and attributable.

Do answers cite their source?

Yes. Every answer is grounded in your documents and cites where it came from, so it can be checked.

Ready when you are

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