[step:Use nonpositive sectional curvature to make the curvature term nonnegative]
Fix $p \in M$, $t \in [0,1]$, and $i \in \{1,\dots,m\}$. Let
\begin{align*}
A := V(p,t) \in T_{U(p,t)}N,
\qquad
B := (e_i)_t(p) \in T_{U(p,t)}N.
\end{align*}
If $A$ and $B$ are linearly dependent, then
\begin{align*}
h(R^N(A,B)B,A)=0
\end{align*}
by the alternating property of the curvature tensor in its first two entries. If $A$ and $B$ are linearly independent, the definition of sectional curvature gives
\begin{align*}
h(R^N(A,B)B,A)
=
K_N(\operatorname{span}\{A,B\})
\left(|A|_h^2|B|_h^2-h(A,B)^2\right).
\end{align*}
Since $K_N \leq 0$ and the Gram determinant
\begin{align*}
|A|_h^2|B|_h^2-h(A,B)^2
\end{align*}
is positive for linearly independent $A$ and $B$, we have
\begin{align*}
h(R^N(A,B)B,A) \leq 0.
\end{align*}
Thus, in all cases,
\begin{align*}
-h(R^N(V,(e_i)_t)(e_i)_t,V) \geq 0.
\end{align*}
[/step]