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Machine learning in law: unveiling the AHKPSV algorithm for improved legal case outcome forecasts | Synapse
March 3, 2026
Machine learning in law: unveiling the AHKPSV algorithm for improved legal case outcome forecasts
VV
Vaissnave Venkadapathi
SM
Suganiya Murugan
SB
S. Selva Birunda
Intel (India)
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Puntos clave
Improved case outcome forecasts are achievable with the AHKPSV algorithm, enhancing legal prediction.
The algorithm's predictive accuracy stands significantly higher compared to standard methods, with accuracy rates exceeding 80%.
Assessment using the AHKPSV machine learning algorithm effectively analyzes large datasets within legal domains, emphasizing efficiency.
Highlights the need for further validation through diverse legal contexts to ensure broad applicability of the findings.
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Venkadapathi et al. (Sun,) studied this question.
synapsesocial.com/papers/69a76063c6e9836116a2d12f
https://doi.org/https://doi.org/10.1007/s13042-025-02959-5
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