  Covering $\sim$5600 deg$^2$ to rms sensitivities of $\sim$70$-$100 $\mu$Jy
beam$^{-1}$, the LOFAR Two-metre Sky Survey Data Release 2 (LoTSS-DR2) provides
the largest low-frequency ($\sim$150 MHz) radio catalogue to date, making it an
excellent tool for large-area radio cosmology studies. In this work, we use
LoTSS-DR2 sources to investigate the angular two-point correlation function of
galaxies within the survey. We discuss systematics in the data and an improved
methodology for generating random catalogues, compared to that used for
LoTSS-DR1, before presenting the angular clustering for $\sim$900,000 sources
$\geq$$1.5$ mJy and a peak signal-to-noise $\geq$$7.5$ across $\sim$$80\%$ of
the observed area. Using the clustering we infer the bias assuming two
evolutionary models. When fitting {angular scales of $0.5 \leq\theta<5\,\deg$,
using a linear bias model, we find LoTSS-DR2 sources are biased tracers of the
underlying matter, with a bias of $b_{C}= 2.14^{+0.22}_{-0.20}$ (assuming
constant bias) and $b_{E}(z=0)= 1.79^{+0.15}_{-0.14}$ (for an evolving model,
inversely proportional to the growth factor), corresponding to $b_E=
2.81^{+0.24}_{-0.22}$ at the median redshift of our sample, assuming the LoTSS
Deep Fields redshift distribution is representative of our data. This reduces
to $b_{C}= 2.02^{+0.17}_{-0.16}$ and $b_{E}(z=0)= 1.67^{+0.12}_{-0.12}$ when
allowing preferential redshift distributions from the Deep Fields to model our
data. Whilst the clustering amplitude is slightly lower than LoTSS-DR1 ($\geq$2
mJy), our study benefits from larger samples and improved redshift estimates.
