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Description
The DocDecoder browser extension leverages GPT-4 to create straightforward and succinct summaries of legal policies found on various websites, allowing users to quickly review them before agreeing. By sifting through complex legal jargon, GPT-4 identifies key terms that directly impact the user experience. These terms are presented with a user-friendly color coding system that visually distinguishes positive, negative, and neutral implications. Simply input the URL of any legal document, and DocDecoder will clarify its potential effects on you. Any terms deemed potentially harmful are highlighted in red for easy identification. Free users are permitted to generate two new summaries each month, while having unlimited access to previously created ones. You can also consult our AI assistant with any inquiries you may have regarding a specific policy, receiving prompt responses. In cases where a policy has not yet been summarized, users have the option to create their own summary by inputting the URL, which will be returned in under 30 seconds, detailing up to 30 concise points regarding its direct impact on them. This tool aims to empower users with the knowledge needed to navigate legal agreements confidently.
Description
On June 23, 2025, Microsoft unveiled Mu, an innovative 330-million-parameter encoder–decoder language model specifically crafted to enhance the agent experience within Windows environments by effectively translating natural language inquiries into function calls for Settings, all processed on-device via NPUs at a remarkable speed of over 100 tokens per second while ensuring impressive accuracy. By leveraging Phi Silica optimizations, Mu’s encoder–decoder design employs a fixed-length latent representation that significantly reduces both computational demands and memory usage, achieving a 47 percent reduction in first-token latency and a decoding speed that is 4.7 times greater on Qualcomm Hexagon NPUs when compared to other decoder-only models. Additionally, the model benefits from hardware-aware tuning techniques, which include a thoughtful 2/3–1/3 split of encoder and decoder parameters, shared weights for input and output embeddings, Dual LayerNorm, rotary positional embeddings, and grouped-query attention, allowing for swift inference rates exceeding 200 tokens per second on devices such as the Surface Laptop 7, along with sub-500 ms response times for settings-related queries. This combination of features positions Mu as a groundbreaking advancement in on-device language processing capabilities.
API Access
Has API
API Access
Has API
Integrations
GPT-4
Google Chrome
Pricing Details
$49 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DocDecoder
Founded
2023
Country
United States
Website
docdecoder.app/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
blogs.windows.com/windowsexperience/2025/06/23/introducing-mu-language-model-and-how-it-enabled-the-agent-in-windows-settings/