Integrate the Lawmatics API with the Go API

Setup the Lawmatics API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Lawmatics and Go remarkably fast. Free for developers.

Popular Lawmatics and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Overview of Lawmatics#

Lawmatics is a platform tailored for legal firms, providing tools for CRM, marketing automation, and intake management. Its API enables the automation of routine tasks, data syncing across various platforms, and personalized client interactions without manual intervention. With Pipedream's serverless execution model and its capability to connect to hundreds of apps, one can automate workflows like client data synchronization, case status updates, or even trigger custom marketing campaigns based on client interaction. The API’s ability to communicate with Pipedream allows for an efficient and programmable way to handle legal operational processes.

Connect Lawmatics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lawmatics: {
      type: "app",
      app: "lawmatics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lawmatics.com/v1/users`,
      headers: {
        Authorization: `Bearer ${this.lawmatics.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}