Document and correspondence analysis automation for a law firm

Challenge

Every inbound document — court filing, client recording, email — needed manual analysis: read the case context, find the right clauses in the repository, create a Jira ticket, assign a lawyer. Repetitive work that burned hours every day and was vulnerable to interpretation errors.

Manual ticket creation from documents and recordings — slow and error-prone.
Clause search across a fragmented repository — too slow.
Correspondence requiring manual review, case assignment and delegation.
No consistent mechanism for classification, prioritisation and assignment.

What we built

We built a platform that automates the analysis of documents, voice recordings and inbound correspondence, integrated with Jira and SharePoint. The system recognises case context and creates tasks with a description, priority and the right lawyer assigned.

It searches and cites the right clauses from documents and routes incoming letters to the right cases and people — in 30 seconds instead of 12 minutes.

JiraSharePointAI document analysis

Results

30 sec

task created vs 12 min

A throughput jump of more than an order of magnitude.

95%

clause citation accuracy

The system points at the right repository fragments.

140h

saved per month

Lawyer time returned to substantive work.

key processes automated

Documents, recordings and correspondence.

Next step

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