How BMG filed 5000+ AI-drafted lawsuit answers to court and increased its win rate by 7%

Banco Bmg (BVMF:BMGB4) was founded in 1930 and has operated successfully in the Brazilian financial market for the past 94 years. It targets the payroll loan market, focusing on clients over 50, as well as insurance, pensions advances, and personal loans.

According to Flávio Guimarães, “we decided to use AI in order to ensure excellence in the preparation of lawsuit answers that explore evidence sets in their entirety, on a large scale and in a reduced time, working as a tool to support the law firms responsible for representing us in court”.

Consequently, in its earnings release last quarter, Bmg informed investors that it is leveraging AI technology to address and improve its current situation regarding civil liabilities.

At this moment, Enter has teamed with Bmg for two key use cases:

1. Reviewing with AI all contacts, records and complaints in the Bmg Customer Support centers involving the plaintiff;
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2. Preparing lawsuit answers for each client regarding the specific legal case, also reflecting the customer journey reports and all documents or agreements between Bmg and customer.

The AI moves on to gather all internal evidence provided by Bmg through integrations built by Enter with three of its core systems. It reviews all files thoroughly — such as customer support calls and hundreds of pages of credit card statements — to uncover winning defense arguments.

Finally, all findings and evidence are merged into a compelling lawsuit answer draft that is reviewed and approved by the Bmg attorney responsible for each lawsuit, ensuring the AI continuously improves from human feedback.

Enter's AI agent has already drafted over 5,000 legal answers for Bmg, and at this moment, the results have been compelling:

• Higher win rate: AI-assisted answers improve case success by 7% (or 5 percentage points) over non-AI counterparts, even for a client such as Bmg that is already enjoying top-tier court performance;
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• Increased operational efficiency: Enter has boosted the productivity of BMG lawyers by reducing the amount of time spent per lawsuit answer by 54.5%, from 45 to 21 minutes on average, with lawyer revision changing less than 7% of all AI outputs