How did a Legal Enterprise Process 200,000 Customers in 2.5 Months Using ML? [CASE STUDY]

Automating document processing, creating reports and an audit trail across all touchpoints.

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Download this case study to learn how a legal enterprise utilized ML self-learning capabilities.

From the human, the bot learns the context and the steps applied to handle exceptions so it can automatically process it when it encounters similar exceptions in the future.

The self-learning capabilities are also extended to teach the bot to interpret any complex document
formats encountered.