Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Gain immediate understanding of your contracts by pinpointing essential clauses, creating summaries, and facilitating your team's review process through advanced machine learning analysis. Diligen is utilized globally, catering to everyone from small legal teams to Fortune 15 corporations, streamlining the contract review process to be quicker, more efficient, and cost-effective. Its scalability is remarkable, accommodating anywhere from 50 to 500,000 contracts with ease. On day one, users can tap into hundreds of pre-trained clause models, while also having the ability to quickly train Diligen to recognize additional concepts. The adaptable and user-friendly interface can be tailored to fit your specific requirements. Compared to other market solutions, it offers industry-leading performance. You can delegate contracts to your team, enhance collaboration, and oversee the review process seamlessly. Training the system to recognize new clauses or ideas is straightforward, and it can automatically produce contract summaries in formats like Word or Excel. Furthermore, contracts can be filtered based on various criteria such as name, date, parties, or specific provisions, ensuring that hundreds of key clauses are automatically recognized and highlighted for your convenience. This comprehensive approach to contract management significantly enhances productivity and accuracy.
Description
GLM-Legal is an AI language model developed by Z.ai to support legal analysis, document review, compliance research, and autonomous legal workflows. The model is built on GLM-5.3-Flash and incorporates specialized legal training to improve performance on professional legal tasks. Its contract analysis capabilities help users examine agreements, identify problematic provisions, and recommend revisions based on specific client objectives. GLM-Legal can analyze collections of legal documents, identify contradictions between evidence sources, and connect factual findings to relevant legal arguments. The model also supports regulatory compliance research, including analysis of privacy laws, cross-border requirements, and jurisdiction-specific obligations. Its agentic architecture enables multistep legal workflows involving document ingestion, legal reasoning, source referencing, and structured deliverable generation. Integration with Z.ai's AutoClaw platform is intended to support document editing, tracked changes, comments, and other practical legal work processes. Z.ai reports that GLM-Legal achieved a 19.2% all-pass rate on Harvey's Legal Agent Benchmark and demonstrated competitive performance on LegalBench and PLawBench. The model is intended for law firms, corporate legal departments, legal technology providers, and independent practitioners seeking AI assistance with complex legal work.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AutoClaw
No
Box
Yes
Clio
Yes
Epiq Discovery
Yes
Microsoft Excel
Yes
Microsoft Word
Yes
NetDocuments
Yes
Z.ai
No
Integrations
AutoClaw
Yes
Box
No
Clio
No
Epiq Discovery
No
Microsoft Excel
No
Microsoft Word
No
NetDocuments
No
Z.ai
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Diligen
Country
Canada
Website
www.diligen.com
Vendor Details
Company Name
Z.ai
Founded
2019
Country
China
Website
z.ai/blog/glm-legal
Product Features
Product Features
Alternatives
Alternatives
No Alternatives