In the present paper, the random series in orthogonal Jacobi polynomials is discussed. The scalars are Fourier–Jacobi coefficients of a function in the weighted space The random variables are chosen to be the Fourier–Jacobi coefficients of symmetric stable process of index for which are not independent. We prove that, under certain conditions on and the random Fourier–Jacobi series converges in probability to the stochastic integral \begin{equation*} \int_{-1}^1 \mathfrak{g}(u,v)dY_{ζ,η}(v,\varpi). \end{equation*} We also establish the existence of this integral in the sense of probability for

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