Effective implementation of AI in litigation depends on rigorous data governance and organization rather than the generative output of the tools themselves. This matters to legal tech professionals because unstructured data across fragmented systems currently prevents AI from producing reliable case outcomes or accurate financial forecasting. Firms must prioritize centralization and standardization of their matter data to create a trusted source of truth. Without this foundation, even advanced AI tools will produce inaccurate results due to poor input quality.
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Ali NematiWritten by Ali
