FORECASTING DISCOVERY COSTS BASED ON INTERPOLATION OF HISTORIC EVENT PATTERNS
First Claim
1. A computer-implemented method of forecasting litigation discovery costs for a litigation matter that includes a number of business events, comprising:
- capturing historical business events for the litigation matter;
aggregating and statistically analyzing the captured historical business events by matter type, time period, and business event type to produce statistical data specific to a time period;
aggregating the statistical data for matter type and event type;
extrapolating future business events using the statistical data provided by the statistical analysis to calculate probabilities of occurrence of future business events;
forecasting an extrapolated volume of production at the time of a forecasted export event; and
forecasting costs for future discovery from the extrapolated volume of production.
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Abstract
A computer-implemented method of forecasting discovery costs captures historical business events, which are aggregated and statistically analyzed by matter type and business event types. Statistical data is used to calculate probabilities of occurrence of future business events and to extrapolate occurrence of those future business events. The method forecasts an extrapolated volume of production at the time of a forecasted export event. The method further forecasts costs for future discovery from the extrapolated volume of production.
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Citations
20 Claims
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1. A computer-implemented method of forecasting litigation discovery costs for a litigation matter that includes a number of business events, comprising:
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capturing historical business events for the litigation matter; aggregating and statistically analyzing the captured historical business events by matter type, time period, and business event type to produce statistical data specific to a time period; aggregating the statistical data for matter type and event type; extrapolating future business events using the statistical data provided by the statistical analysis to calculate probabilities of occurrence of future business events; forecasting an extrapolated volume of production at the time of a forecasted export event; and forecasting costs for future discovery from the extrapolated volume of production. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification