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Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.
It is based on advanced machinelearning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. AI can help in analyzing past resolutions to suggest possible outcomes, making the mediation or arbitration process more efficient.
It is based on advanced machinelearning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. AI can help in analyzing past resolutions to suggest possible outcomes, making the mediation or arbitration process more efficient.
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