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01 · Use cases— The evidence

Thomson Reuters

6 documented AI deployments at Thomson Reuters, across 3 industries. Each one links to the public source it was taken from.

Toronto, Canada · Founded 2008 · thomsonreuters.com · WikipediaSource: Wikidata, 2026-11-01

6
deployments
on record
3
industries
Professional Services
67%
use AI agents
4 of these
27 May 2026
latest source date
3 report a measured outcome
§ 1

Public AI record

Thomson Reuters ranks 2nd of 6 professional services companies on the hub with a public AI record score of 68. It is ahead of 86% of companies on sophistication. AI development platform and risk assessment are common among peers but not yet documented at Thomson Reuters.

Medium confidenceBased on 6 public cases · updated 10 Nov 2026
68
Record score
Out of 100; 50 is typical on the hub
2nd of 6
Professional Services companies
Peer median 65

Nearest peers: KPMG 1st, 71 · EY 3rd, 66 · PwC 4th, 65

  1. BreadthHow many different kinds of use case, across how many business areas
    81
  2. DepthShare running in production or at scale rather than pilots
    49
  3. SophisticationAgentic share and innovativeness rating
    86
  4. EvidenceShare backed by the company's own sources and measured results
    60
  5. MomentumHow recent the cases are; older cases count less
    66
How the score works
Each bar is a percentile against every company page on the hub: 70 means a stronger record than 70% of them. The score is the average of the five. It measures the public record we can document, not the quality of the company's AI.

First documented case Jan 2023, latest May 2026. Cloud providers named: AWS, Microsoft.

§ 2

Compared with peers

Against 8 other professional services companies on the hub.

What peers document

  1. 75%
  2. Risk assessment4 of 8 peers
    50%
  3. 38%
  4. Compliance automation3 of 8 peers · here too
    38%
4 of 6 patterns

Gaps against the industry

Signature use cases

No peer on the hub documents legal onboarding automation.

Stack and approach vs peers
  • Peer cases name Microsoft 84%, AWS 13%, GCP 2%.
  • AI agents: 67% of Thomson Reuters's cases vs 40% for peers.
  • Cases from the last 12 months: 33% vs 13% for peers.
§ 3

Deployments

6 deployments at Thomson Reuters, newest first.

  • 27 May 2026
    Professional Services

    Thomson Reuters expands generative AI access with Amazon Bedrock

    Thomson Reuters · Legal document automation · AWS

    Thomson Reuters built Open Arena, a web-based enterprise AI and machine learning playground, to democratize safe and secure access to generative AI models for technical and nontechnical employees. The company expanded the platform by incorporating Amazon Bedrock so teams can experiment with, compare, and select different foundation models for products and internal use cases. Thomson Reuters also used the platform to build Checkpoint Edge with CoCounsel, a tax research generative AI application that provides responsive answers with in-line citations to tax resources.

  • 21 Jan 2026
    Professional Services

    Thomson Reuters: Agentic platform engineering hub with Amazon Bedrock AgentCore

    Thomson Reuters · Workflow orchestration · AWS

    Thomson Reuters built an AI-powered platform engineering hub for internal operational workflows using Amazon Bedrock AgentCore. The solution uses a modular orchestrator named Aether, specialized service agents, a custom agent registry, and a secure web portal so internal users can request infrastructure and operational actions through natural language.

    Multi-agentProduction

    15×
    productivity gain
  • 29 Oct 2024
    Retail

    Pets at Home boosted profit protection with autonomous AI agents

    Pets at Home · Legal onboarding automation · Microsoft

    Pets at Home, McKinsey & Company, and Thomson Reuters have adopted Microsoft’s Copilot Studio and autonomous agents within Dynamics 365 to automate supply chain, sales, onboarding, and due diligence workflows. These AI agents handle supplier communications to avoid disruptions, sales qualification to accelerate lead processing, client onboarding to reduce cycle times, and legal due diligence to improve throughput—all leveraging secure integration with Microsoft 365 Graph, Dataverse, and Fabric. For Pets at Home, the profit protection team uses an autonomous agent to efficiently assemble cases for expert review, leading to significant annual cost savings. McKinsey’s onboarding agent reduced lead times by 90% and administrative efforts by 30%. Thomson Reuters cut legal due-diligence time by half, improving client offerings. Success depends on supplying quality data, but the agents have shown clear productivity and cost benefits for early adopters in retail, professional services, and legal sectors.

    Multi-agentProduction

    −90%
    time
  • 1 Jun 2024
    Legal

    Thomson Reuters halves legal due diligence time with Copilot automation

    Thomson Reuters · Legal document automation · Microsoft

    Thomson Reuters implemented a Copilot Studio agent to automate and streamline legal due diligence processes. By leveraging Microsoft Copilot Studio, the company addressed previously manual and labor-intensive due diligence review tasks. The autonomous agent gathers, processes, and reports on relevant information, enabling faster decision-making and significant efficiency gains. Early tests demonstrated that the Copilot agent cut the time spent on due diligence by 50%, allowing legal teams to redirect their focus to higher-value business activities.

    Agentic

    −50%
    quantified impact
  • 1 Jan 2024
    Legal

    Thomson Reuters clients automate compliance and legal workflows with AI-powered assistance

    Thomson Reuters · Legal document automation · Microsoft

    Thomson Reuters has integrated its GenAI CoCounsel assistant directly into the Microsoft 365 environment through Copilot extensions. This enables legal and compliance professionals to automate tasks like regulatory analysis, contract drafting, and reporting using secure organizational and proprietary content without leaving core business apps. In live demos, complex processes that once took days now take seconds, accelerating compliance and reducing risk. The solution brings together trusted Thomson Reuters legal content with the collaborative and workflow power of Microsoft 365, leveraging privacy and security protocols. The vision extends across use cases in legal, tax, risk, and media segments.

    Multi-agentProduction

5 of 6 deployments
§ 4

What it builds

Legal document automation is the most common pattern in these deployments: 3.

§ 5

Cloud providers named

AWS is named in 3 of these deployments.

  1. AWS50% of these
    3
  2. Microsoft50% of these
    3
§ 6

Industries

Thomson Reuters deployments span 3 industries.

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