diff --git a/R-package/NAMESPACE b/R-package/NAMESPACE
index c31c8bb0e74b..02e886bbcbac 100644
--- a/R-package/NAMESPACE
+++ b/R-package/NAMESPACE
@@ -4,14 +4,12 @@ S3method("dimnames<-",lgb.Dataset)
 S3method(dim,lgb.Dataset)
 S3method(dimnames,lgb.Dataset)
 S3method(get_field,lgb.Dataset)
-S3method(getinfo,lgb.Dataset)
 S3method(predict,lgb.Booster)
 S3method(print,lgb.Booster)
 S3method(set_field,lgb.Dataset)
 S3method(slice,lgb.Dataset)
 S3method(summary,lgb.Booster)
 export(get_field)
-export(getinfo)
 export(lgb.Dataset)
 export(lgb.Dataset.construct)
 export(lgb.Dataset.create.valid)
diff --git a/R-package/R/lgb.Dataset.R b/R-package/R/lgb.Dataset.R
index 077e27a97460..6f994c42ba2a 100644
--- a/R-package/R/lgb.Dataset.R
+++ b/R-package/R/lgb.Dataset.R
@@ -464,18 +464,6 @@ Dataset <- R6::R6Class(
 
     },
 
-    getinfo = function(name) {
-      warning(paste0(
-        "Dataset$getinfo() is deprecated and will be removed in a future release. "
-        , "Use Dataset$get_field() instead."
-      ))
-      return(
-        self$get_field(
-          field_name = name
-        )
-      )
-    },
-
     get_field = function(field_name) {
 
       # Check if attribute key is in the known attribute list
@@ -1157,71 +1145,6 @@ slice.lgb.Dataset <- function(dataset, idxset, ...) {
 
 }
 
-#' @name getinfo
-#' @title Get information of an \code{lgb.Dataset} object
-#' @description Get one attribute of a \code{lgb.Dataset}
-#' @param dataset Object of class \code{lgb.Dataset}
-#' @param name the name of the information field to get (see details)
-#' @param ... other parameters (ignored)
-#' @return info data
-#'
-#' @details
-#' The \code{name} field can be one of the following:
-#'
-#' \itemize{
-#'     \item \code{label}: label lightgbm learn from ;
-#'     \item \code{weight}: to do a weight rescale ;
-#'     \item{\code{group}: used for learning-to-rank tasks. An integer vector describing how to
-#'         group rows together as ordered results from the same set of candidate results to be ranked.
-#'         For example, if you have a 100-document dataset with \code{group = c(10, 20, 40, 10, 10, 10)},
-#'         that means that you have 6 groups, where the first 10 records are in the first group,
-#'         records 11-30 are in the second group, etc.}
-#'     \item \code{init_score}: initial score is the base prediction lightgbm will boost from.
-#' }
-#'
-#' @examples
-#' \donttest{
-#' data(agaricus.train, package = "lightgbm")
-#' train <- agaricus.train
-#' dtrain <- lgb.Dataset(train$data, label = train$label)
-#' lgb.Dataset.construct(dtrain)
-#'
-#' labels <- lightgbm::getinfo(dtrain, "label")
-#' lightgbm::set_field(dtrain, "label", 1 - labels)
-#'
-#' labels2 <- lightgbm::getinfo(dtrain, "label")
-#' stopifnot(all(labels2 == 1 - labels))
-#' }
-#' @export
-getinfo <- function(dataset, ...) {
-  UseMethod("getinfo")
-}
-
-#' @rdname getinfo
-#' @export
-getinfo.lgb.Dataset <- function(dataset, name, ...) {
-
-  warning("Calling getinfo() on a lgb.Dataset is deprecated. Use get_field() instead.")
-
-  additional_args <- list(...)
-  if (length(additional_args) > 0L) {
-    warning(paste0(
-      "getinfo.lgb.Dataset: Found the following passed through '...': "
-      , paste(names(additional_args), collapse = ", ")
-      , ". These are ignored. In future releases of lightgbm, this warning will become an error. "
-      , "See ?getinfo.lgb.Dataset for documentation on how to call this function."
-    ))
-  }
-
-  if (!lgb.is.Dataset(x = dataset)) {
-    stop("getinfo.lgb.Dataset: input dataset should be an lgb.Dataset object")
-  }
-
-  return(dataset$get_field(field_name = name))
-
-}
-
-
 #' @name get_field
 #' @title Get one attribute of a \code{lgb.Dataset}
 #' @description Get one attribute of a \code{lgb.Dataset}
diff --git a/R-package/man/getinfo.Rd b/R-package/man/getinfo.Rd
deleted file mode 100644
index da73193ecf40..000000000000
--- a/R-package/man/getinfo.Rd
+++ /dev/null
@@ -1,52 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/lgb.Dataset.R
-\name{getinfo}
-\alias{getinfo}
-\alias{getinfo.lgb.Dataset}
-\title{Get information of an \code{lgb.Dataset} object}
-\usage{
-getinfo(dataset, ...)
-
-\method{getinfo}{lgb.Dataset}(dataset, name, ...)
-}
-\arguments{
-\item{dataset}{Object of class \code{lgb.Dataset}}
-
-\item{...}{other parameters (ignored)}
-
-\item{name}{the name of the information field to get (see details)}
-}
-\value{
-info data
-}
-\description{
-Get one attribute of a \code{lgb.Dataset}
-}
-\details{
-The \code{name} field can be one of the following:
-
-\itemize{
-    \item \code{label}: label lightgbm learn from ;
-    \item \code{weight}: to do a weight rescale ;
-    \item{\code{group}: used for learning-to-rank tasks. An integer vector describing how to
-        group rows together as ordered results from the same set of candidate results to be ranked.
-        For example, if you have a 100-document dataset with \code{group = c(10, 20, 40, 10, 10, 10)},
-        that means that you have 6 groups, where the first 10 records are in the first group,
-        records 11-30 are in the second group, etc.}
-    \item \code{init_score}: initial score is the base prediction lightgbm will boost from.
-}
-}
-\examples{
-\donttest{
-data(agaricus.train, package = "lightgbm")
-train <- agaricus.train
-dtrain <- lgb.Dataset(train$data, label = train$label)
-lgb.Dataset.construct(dtrain)
-
-labels <- lightgbm::getinfo(dtrain, "label")
-lightgbm::set_field(dtrain, "label", 1 - labels)
-
-labels2 <- lightgbm::getinfo(dtrain, "label")
-stopifnot(all(labels2 == 1 - labels))
-}
-}
diff --git a/R-package/tests/testthat/test_dataset.R b/R-package/tests/testthat/test_dataset.R
index fc8f5e45f840..99b98c8e2bf2 100644
--- a/R-package/tests/testthat/test_dataset.R
+++ b/R-package/tests/testthat/test_dataset.R
@@ -13,7 +13,6 @@ test_that("lgb.Dataset: basic construction, saving, loading", {
   dtest1 <- lgb.Dataset(test_data, label = test_label)
   # from dense matrix
   dtest2 <- lgb.Dataset(as.matrix(test_data), label = test_label)
-  expect_equal(getinfo(dtest1, "label"), getinfo(dtest2, "label"))
   expect_equal(get_field(dtest1, "label"), get_field(dtest2, "label"))
 
   # save to a local file
@@ -23,25 +22,9 @@ test_that("lgb.Dataset: basic construction, saving, loading", {
   dtest3 <- lgb.Dataset(tmp_file)
   lgb.Dataset.construct(dtest3)
   unlink(tmp_file)
-  expect_equal(getinfo(dtest1, "label"), getinfo(dtest3, "label"))
   expect_equal(get_field(dtest1, "label"), get_field(dtest3, "label"))
 })
 
-test_that("lgb.Dataset: getinfo", {
-  dtest <- lgb.Dataset(test_data)
-  dtest$construct()
-
-  set_field(dtest, "label", test_label)
-  labels <- getinfo(dtest, "label")
-  expect_equal(test_label, getinfo(dtest, "label"))
-
-  expect_true(length(getinfo(dtest, "weight")) == 0L)
-  expect_true(length(getinfo(dtest, "init_score")) == 0L)
-
-  # any other label should error
-  expect_error(set_field(dtest, "asdf", test_label))
-})
-
 test_that("lgb.Dataset: get_field & set_field", {
   dtest <- lgb.Dataset(test_data)
   dtest$construct()
@@ -91,8 +74,8 @@ test_that("Dataset$slice() supports passing Dataset attributes through '...'", {
     , init_score = init_score
   )
   dsub1$construct()
-  expect_null(dtest$getinfo("init_score"), NULL)
-  expect_identical(dsub1$getinfo("init_score"), init_score)
+  expect_null(dtest$get_field("init_score"), NULL)
+  expect_identical(dsub1$get_field("init_score"), init_score)
 })
 
 test_that("Dataset$set_reference() on a constructed Dataset fails if raw data has been freed", {