How do you protect your data when using AI in CoCounsel?
Here’s what you need to know around the AI risk.
We assess each vendor’s AI risk posture using 26 risk vectors mapped to leading frameworks like OWASP for LLM. This page will show a high-level snapshot of some information for each vendor. For the full, vendor-specific AI risk report, click the image below.
Feature Overview
Each vendor provides a unique set of features, and implements AI in certain ways. Let's see what types of AI features they have to offer:
CoCounsel |
|---|
Review, summarize, compare, or generate timelines based on inputted documents and user queries. |
… see more in full report |
Want to see all AI features?
Pricing Details
Let's dive into the relevant pricing details for accessing AI, as providers vary widely in their pricing models and cost drivers.
Vendor | Description | CoCounsel |
|---|---|---|
Freemium | Offers free tiers | |
Per License/Seat | Charges per user or access point | |
Usage-Based | Pay per taken, API call, inference, etc. | |
Outcome-Based | Pay only when certain results or performance goals are achieved |
Some Quick facts about each vendor
Here are some facts about CoCounsel
CoCounsel |
|---|
Launched with legal, CoCounsel now serves adjacent professionals in tax, audit, and accounting, with multiple product integrations rolling out across five new knowledge industries in 2025. |
Augments — rather than replaces —professional expertise and is central to Thomson Reuters’ enterprise AI strategy in 2025. |
Since launch, CoCounsel has rapidly established a footprint across North America, Europe, and APAC, serving both multinational corporations and boutique professional firms. |
If your app pulls in third-party content — like URLs, comments, or files — LLM features can be tricked into leaking private data through indirect prompt injection. Most teams don’t even realize it’s happening.
According to a 2025 Gartner survey,
73%
of enterprises have suffered an AI-related security breach in the last year
$4.8M
average cost per incident — with indirect prompt injection and data leakage via LLMs now among the top attack vectors for financial services and healthcare organizations
In recent incidents, platforms like ChatGPT and Microsoft 365 Copilot were exploited by attackers using hidden prompts and indirect content injection, leading to unintended data exposure
We are trusted by top organizations to navigate AI security and risk. To see what this looks like, check out our platform below
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