Let $V = \mathbb{R}^2$ with the standard inner product $\langle(a, b), (c, d)\rangle_1 = ac + bd$, and let $L \subseteq V$ be the $x$-axis, $L = \{(a, 0) \mid a \in \mathbb{R}\}$. Then the orthgonal complement to $L$ are all those points $(c, d)$ satisfying $ac + 0d = 0$ for all $a \in \mathbb{R}$, i.e. the $y$-axis.
However, if we put a different inner product on $V$, say $\langle(a, b), (c, d)\rangle_2 = 2ac + ad + bc + 2bd$, (you need to check that this is an inner product, i.e. it is symmetric and positive-definite), then the orthogonal complement to $L$ are those points $(c, d)$ satisfying $2ac + ad = 0$ for all $a \in \mathbb{R}$, i.e. the line $2x + y = 0$.
In general, given a subspace $L \subseteq V$, the orthogonal complement of $L$ will depend on the choice of inner product. However, it will always be true (in the finite-dimensional case) that $V = L \oplus L^\perp$, by definiteness of the inner product. For $$L \cap L^\perp = \{v \in L \mid \langle v, u \rangle = 0 \text{ for all } u \in L\} \subseteq \{v \in L \mid \langle v, v \rangle = 0\} = \{0\}$$
(where we used the fact that $\langle v, v \rangle = 0$ iff $v = 0$). By picking an orthogonal basis of $L$ and extending to an orthogonal basis of $V$, it is easy to check that $\dim V = \dim L + \dim L^\perp$, and so $V = L + L^\perp$.