The linear point (LP), defined as the mid-point between the dip and the peak
of the two-point clustering correlation function (TPCF), has been shown to be
an excellent standard ruler for cosmology. In fact, it is nearly
redshift-independent, being weakly sensitive to non-linearities,
scale-dependent halo bias and redshift-space distortions. So far, these
findings were tested assuming that neutrinos are massless; in this paper we
extend the analysis to massive-neutrino cosmologies. In particular, we examine
if the scale-dependent growth induced by neutrinos affects the LP position and
if it is possible to detect the neutrino masses using the shift of the LP
compared to the massless-neutrino case. For our purposes, we employ two sets of
state-of-the-art $N$-body simulations with massive neutrinos. For each of them
we measure the TPCF of cold dark matter (CDM) and halos and, to estimate the
LP, fit the TPCF with a model-independent parametric fit in the range of scales
of the Baryon Acoustic Oscillations (BAO). Overall, we find that the LP retains
its features as a standard ruler even when neutrinos are massive. The cosmic
distances measured with the LP can therefore be employed to constrain the
neutrino mass. In addition, we propose a procedure to constrain the neutrino
masses by comparing the measured LP of data to the LP of a mock galaxy catalog
with massless neutrinos and fixed cosmological parameters. The small
uncertainty of the LP, $\sigma_\mathrm{LP}$, plays a key role in forecasting a
possible detection of neutrino masses in future surveys. We find that the sum
of the neutrino masses could be detected if several redshift bins are used,
provided the survey volume is sufficiently large and the shot-noise of the
galaxy sample is sufficiently low.