How Bmg’s legal department produced 5,000+ lawsuit answers with AI support and increased its operational efficiency by 7%

According to Flávio Guimarães, “we decided to use AI to ensure excellence in the lawsuit answers drafted by our attorneys, fully exploring the legal inputs, at a large scale and in a reduced time, working as a support tool for 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.

Bmg hired Enter to support the bank with three main solutions:

1. Through API integrations with the bank’s legal ERPs, Enter’s AI runs an exhaustive data collection, analyzing every file in detail — call recordings and hundreds of pages of credit card statements — to uncover evidence that strengthens the client’s defense.

2. Using AI to review every contact, record, and complaint in Bmg’s Customer Service centers involving the plaintiff in the lawsuit;

3. Supporting Bmg’s legal department and the law firms that represent it in structuring text suggestions, incorporating internal data tied to the customer journey and to the dispute at hand.

Finally, every finding and piece of evidence feeds parameterized documents so that the Bmg’s legal department and its attorneys can exercise their judgment.

Enter's AI agent has already suggested over 5,000 drafts for Bmg — drafts reviewed and audited by a licensed attorney — and so far the results have been striking:

The legal department improved portfolio performance by 5 percentage points using Enter's technology compared with lawsuits without AI support, even for a client like Bmg that already performs at a high level in court.

Greater operational efficiency: Enter raised the productivity of the attorneys at the firm representing Bmg, cutting the average time spent per lawsuit answer by 54.5%, from 45 to 21 minutes.