How Thomson Reuters Uses Westlaw Edge AI to Automate Legal Drafting and Research

By: GoBeyond Team

August 10, 2026

3 min read

Thomson Reuters Westlaw Edge AI interface

Quick Overview

Thomson Reuters integrated generative AI tools into Westlaw Edge and other platforms to automate contract drafting, legal research, and document review. These AI solutions improve accuracy, speed workflows, and help legal professionals manage complex documents efficiently.

Thomson Reuters

Company Size

~25,000 employees

Revenue Range

$6B+ annual revenue

Primary Challenge

Enhancing legal workflow efficiency and accuracy in document management

Key Metrics

- Increased drafting speed
- Improved research accuracy
- Reduced manual workload

The Problem

Manual legal drafting and research were slow and prone to errors

The Solution

Developed generative AI and NLP-powered tools integrated into Westlaw Edge for contract automation and research assistance

Results

- Faster legal drafting
- Higher accuracy
- Better compliance and decision-making

Details

Industry

Legal

Departments

Legal & Compliance

Knowledge & Information Management

Use Cases

Legal Research

More Case Studies

See All

How Snowdrop Uses Google Cloud AI and Geospatial Data to Improve Financial Transaction Data Accuracy and Matching

Finance & Banking

How Target Uses AI-Driven Predictive Analytics and Visualization to Optimize Inventory and Marketing

Technology & SaaS

How IBM Uses the Privacy and AI Management System (PIMS) to Standardize and Scale Privacy and AI Compliance Globally

Technology & SaaS

How Document360 Uses AI to Automate Knowledge Base Creation and Improve Support Documentation

Technology & SaaS

How Studio Rx Boosted Production and Creativity with Adobe Firefly Custom AI Models

Marketing & Advertising

How Abra Improved Customer Experience and Support Efficiency with Forethought AI Chat Widget

Finance & Banking