BEFORE OP INCLUDED CONVEXITY :
"[A] I need to find the minimal area of a hexagon with all of its sides 1 unit away from a point [...] [B] I think this is equivalent to asking for the minimal area of a hexagon circumscribed around a circle [...] [C] Intuitively, it looks like a regular hexagon would minimize the area [...] [D] having trouble proving this result formally [...]"
[A] It is a tough one. Elementary Calculus might be essential. I think , Calculus of Variations involving Differential Equations & trigonometry might be required here.
[B] It is not Equivalent to Circumscribed Circle Case.
Image given shows a "Smaller Area" when Hexagon is outside the Circle.
[C] Intuition seen going in wrong Direction. I think Circumscribed Circle Case might give Maximal Area & regular Hexagon might give non-optimally minimum area.
[D] It might involve Calculus of Variations & might not be trivial.
Image is highlighting the Area of "Non-Convex Hexagon" outside the Circle with the Area much less than the Area of Circle.
I used tangents to the Circle , hence all the Hexagon Sides are at Constant Distance from the Center of the Circle.

When I rotate couple of tangents this way or that way , I think I can arbitrarily reduce the Hexagon Area. I think , minimal area is almost ZERO , like the Black Area in this Image , where the Arrow Directions indicate where the tangents move :

AFTER OP INCLUDED CONVEXITY :
To be Convex , the Hexagon has to be around the Center of the Circle & it has to be around the Circle , which indicates that the minimum area of the Hexagon must exceed area of the Circle.
Every Point of tangency will always occur within each side of the Hexagon.
[[ OP Comment to user peterwhy "the distance is the perpendicular distance from the point to the extended line, even if the intersection falls outside the line segment" will never occur in Convex Case ]]

Let the angles at the Center be $\theta_1,\cdots,\theta_6$ , where $\Sigma \theta_n = 2 \pi$
Area of Hexagon is $A = \Sigma [ 2 \times [1 \times \tan(\theta_n/2)/2] ]$
Hence Area is minimum when $\Sigma \tan(\theta_n/2)$ is minimum.
OBSERVATION : Area is maximum ($\infty$) , when one $\theta$ angle is $\pi$ , giving Parallel lines.
When $\theta_n$ angles are not Equal , we can consider reducing the largest angle while increasing the smallest angle by same amount , keeping the Angle Summation Constant.
Intuitively , that will reduce the Area Summation because the decrease [ in the larger $\tan()$ ] is larger than the increase [ in the smaller $\tan()$ ] to give reduced total.
Proof can be made rigorous via combinatoric analysis on the Summation.
By Jensen Inequality with Convex $\tan()$ , we have $\Sigma \tan(\theta_n/2) \ge 6 \tan ( [ \Sigma \theta_n/2 ] / 6 )$
With $\Sigma \theta_n / 2 = \pi$ , we get :
$6 \tan ( \pi / 6 ) \le \Sigma \tan(\theta_n/2)$ to get the minimum Area.
ADDENDUM :
(1) When using Jensen Inequality , we have to show that $\tan()$ is convex within $(0,\pi/2)$
Proof is elementary & uses AM-GM Inequality with the expansion of $\tan(A+B)$
Details :
https://planetmath.org/convexityoftangentfunction
(2) Jensen Inequality works on Convex functions to compare $f(A+B)$ with $f(2A)$ & $f(2B)$ , where $f()$ must be Convex & $\tan()$ in indeed Convex.
Details :
https://en.wikipedia.org/wiki/Jensen%27s_inequality
Minimize the sum of tangents when sum of angles are constants