You should state all the premises and define your notations. For example,
let $(\Omega,\mathcal{F},P)$ be a probability space and let $\{\mathcal{F}_{t}\mid t\geq0\}$
be a filtration. Let $X:\Omega\rightarrow\mathbb{R}$ be an integrable
random variable.
Define $\mathcal{F}_{\infty}=\sigma\left(\cup_{t}\mathcal{F}_{t}\right)$.
For each $t\geq0$, note that $E\left[X\mid\mathcal{F}_{t}\right]$
is only determined a.e. What is the sense of convergence $\lim_{t\rightarrow\infty}E\left[X\mid\mathcal{F}_{t}\right]$
? Pointwisely a.e. ?
If this is what you want, you need to be careful: For the case of
sequence, if we want to talk about pointwise a.e. convergence $X_{n}\rightarrow X$,
for each $n$, we may modify $X_{n}$ on a $P$-null set and it would
not affect the conclusion. However, for limit process involving uncountably
terms, like $X_{t}\rightarrow X$, we are not allow to "For each
$t$, modify $X_{t}$ on a $P$-null set". Now, we immediately encounter
a problem: What is $E[X\mid\mathcal{F}_{t}]$? It is not a concrete
random variable, but it is only determined a.e.. It is true that $\{E[X\mid\mathcal{F}_{t}]\mid t\geq0\}$
is always a martingale. However, its sample paths are out of control.
Note that, if the filtration is standard, we can always choose a cadlag
modification for $\{E[X\mid\mathcal{F}_{t}]\mid t\geq0\}$ (a deep
result due to Doob) then invoke Martingale Convergence Theorem (uniformly
integrable version) and conclude that $\lim_{t\rightarrow\infty}E[X\mid\mathcal{F}_{t}]=E[X\mid\mathcal{F}_{\infty}]$
pointwisely a.e.