diff --git a/geomagio/processing/update_legacy.py b/geomagio/processing/update_legacy.py
deleted file mode 100644
index fbe239dde32c3d248ba7d8405985d82098ce3c4d..0000000000000000000000000000000000000000
--- a/geomagio/processing/update_legacy.py
+++ /dev/null
@@ -1,73 +0,0 @@
-import os
-
-from .. import Controller
-from ..edge import EdgeFactory
-from ..algorithm import FilterAlgorithm
-from ..TimeseriesUtility import (
-    get_delta_from_interval,
-    get_previous_interval,
-    get_merged_gaps,
-    get_stream_gaps,
-)
-
-from datetime import datetime
-from obspy.core import UTCDateTime
-import typer
-
-
-def main():
-    typer.run(update_legacy)
-
-
-def update_legacy(
-    observatory: str,
-    interval: str,
-    input_channels: list,
-    output_channels: list = None,
-    realtime_interval: int = 86400,
-    edge_host: str = os.getenv("EDGE_HOST", "cwbpub.cr.usgs.gov "),
-    edge_port: int = os.getenv("EDGE_PORT", 2061),
-):
-    # get specified time interval from time that script is ran
-    current_time = datetime.utcnow()
-    current_time_string = current_time.strftime("%Y-%m-%d")
-    endtime = UTCDateTime(current_time_string) - 1
-    starttime = endtime - realtime_interval
-    # create factory for script outputs
-    timeseries_factory = EdgeFactory(host=edge_host, port=edge_port, interval=interval)
-    # request data across time interval
-    output_timeseries = timeseries_factory.get_timeseries(
-        observatory=observatory,
-        starttime=starttime,
-        endtime=endtime,
-        channels=channels,
-        type="variation",
-    )
-    # find gaps in legacy data
-    output_gaps = get_merged_gaps(get_stream_gaps(output_timeseries))
-    # exit script if legacy data is complete
-    if len(output_gaps) == 0:
-        return
-    # get input/output deltas for timeseries processing
-    input_interval = get_previous_interval(interval)
-    input_delta = get_delta_from_interval(input_interval)
-    output_delta = get_delta_from_interval(interval)
-    # configure controller to process gaps
-    controller = Controller(
-        algorithm=FilterAlgorithm(
-            input_sample_period=input_delta, output_sample_period=output_delta
-        ),
-        inputFactory=EdgeFactory(
-            host=edge_host, port=edge_port, interval=input_interval
-        ),
-        outputFactory=timeseries_factory,
-    )
-    # gather, process, and write data into legacy gaps
-    for output_gap in output_gaps:
-        controller.run(
-            observatory=(observatory,),
-            starttime=output_gap[0],
-            endtime=output_gap[1],
-            input_channels=input_channels,
-            output_channels=output_channels,
-        )