diff --git a/lib/Dialect/mhlo/transforms/chlo_legalize_to_hlo.cc b/lib/Dialect/mhlo/transforms/chlo_legalize_to_hlo.cc
index de2a99b..fc91789 100644
--- a/lib/Dialect/mhlo/transforms/chlo_legalize_to_hlo.cc
+++ b/lib/Dialect/mhlo/transforms/chlo_legalize_to_hlo.cc
@@ -13,6 +13,8 @@ See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
 
+#include <numeric>
+
 #include "mlir-hlo/Dialect/mhlo/IR/chlo_ops.h"
 #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
 #include "mlir-hlo/Dialect/mhlo/transforms/rewriters.h"
@@ -31,6 +33,39 @@ namespace mlir {
 namespace chlo {
 namespace {
 
+struct ConvertConstantLikeOp : public OpConversionPattern<ConstantLikeOp> {
+  using OpConversionPattern<ConstantLikeOp>::OpConversionPattern;
+  LogicalResult matchAndRewrite(
+      ConstantLikeOp op, ArrayRef<Value> operands,
+      ConversionPatternRewriter &rewriter) const override {
+    auto result_ty = op.getType().cast<ShapedType>();
+
+    // Unranked uses are not supported.  Consider `transform-unranked-hlo`.
+    if (!result_ty.hasRank()) return failure();
+
+    // Lower to MHLO constant if statically shaped.
+    if (result_ty.hasStaticShape()) {
+      rewriter.replaceOpWithNewOp<mhlo::ConstOp>(
+          op, DenseElementsAttr::get(result_ty, op.value()));
+      return success();
+    }
+
+    // Lower to broadcasted constant.
+    ConstantLikeOp::Adaptor transformed(operands);
+    auto loc = op.getLoc();
+    Type extent_tensor_type = shape::getExtentTensorType(op.getContext());
+    Value constant = rewriter.create<mhlo::ConstOp>(loc, op.value());
+    Value uncasted_shape = rewriter.create<shape::ShapeOfOp>(
+        loc, extent_tensor_type, transformed.operand());
+    Type shape_ty =
+        RankedTensorType::get({result_ty.getRank()}, rewriter.getIndexType());
+    Value shape = rewriter.create<TensorCastOp>(loc, shape_ty, uncasted_shape);
+    rewriter.replaceOpWithNewOp<mhlo::DynamicBroadcastInDimOp>(
+        op, result_ty, constant, shape, rewriter.getI64TensorAttr({}));
+    return success();
+  }
+};
+
 // Converts binary ops that statically are determined to not broadcast directly
 // to the corresponding mhlo non-broadcasting op.
 template <typename ChloOpTy, typename HloOpTy, typename Adaptor>
@@ -505,6 +540,9 @@ void PopulateLegalizeChloToHloPatterns(MLIRContext *context,
       context, patterns);
   PopulateForBinaryOp<BroadcastCompareOp, mhlo::CompareOp, HloCompareAdaptor>(
       context, patterns);
+
+  // Other patterns.
+  patterns->insert<ConvertConstantLikeOp>(context);
 }
 
 }  // namespace chlo
diff --git a/tests/chlo_legalize_to_mhlo.mlir b/tests/chlo_legalize_to_mhlo.mlir
new file mode 100644
index 0000000..371e730
--- /dev/null
+++ b/tests/chlo_legalize_to_mhlo.mlir
@@ -0,0 +1,26 @@
+// RUN: mlir-hlo-opt --mhlo-test-chlo-legalize-to-hlo --split-input-file %s | FileCheck %s
+
+// Lower statically shaped `constant_like` to constant.
+// CHECK-LABEL: @constant_like_static_shape
+func @constant_like_static_shape(%arg : tensor<1x2xi64>) -> tensor<1x2xf32> {
+  // CHECK: %[[RESULT:.*]] = mhlo.constant dense<3.200000e+00> : tensor<1x2xf32>
+  // CHECK: return %[[RESULT]]
+  %result = "chlo.constant_like"(%arg) { value = 3.2 : f32 }
+      : (tensor<1x2xi64>) -> tensor<1x2xf32>
+  return %result : tensor<1x2xf32>
+}
+
+// Lower dynamically shaped `constant_like` to broadcasted constant.
+// CHECK-LABEL: constant_like_dynamic_shape
+// CHECK-SAME: (%[[ARG:.*]]: tensor<?x?xi64>)
+func @constant_like_dynamic_shape(%arg : tensor<?x?xi64>) -> tensor<?x?xf32> {
+  // CHECK: %[[CONSTANT:.*]] = mhlo.constant dense<3.200000e+00> : tensor<f32>
+  // CHECK: %[[UNCASTED_SHAPE:.*]] = shape.shape_of %[[ARG]] : tensor<?x?xi64> -> tensor<?xindex>
+  // CHECK: %[[SHAPE:.*]] = tensor_cast %[[UNCASTED_SHAPE]] : tensor<?xindex> to tensor<2xindex>
+  // CHECK: %[[BROADCASTED_CONSTANT:.*]] = "mhlo.dynamic_broadcast_in_dim"(%[[CONSTANT]], %[[SHAPE]]) {broadcast_dimensions = dense<> : tensor<0xi64>} : (tensor<f32>, tensor<2xindex>) -> tensor<?x?xf32>
+  // CHECK: return %[[BROADCASTED_CONSTANT]] : tensor<?x?xf32>
+  %result = "chlo.constant_like"(%arg) { value = 3.2 : f32 }
+      : (tensor<?x?xi64>) -> tensor<?x?xf32>
+  return %result : tensor<?x?xf32>
+}
+