Coheso Enhances Legal Platform with Universal CLM Connector

May 1, 2025
Coheso has introduced a universal CLM connector to its AI-native work management platform, enhancing efficiency for in-house legal teams, as announced in a press release.
Coheso Enhances Legal Platform with Universal CLM Connector

Coheso has introduced a universal contract lifecycle management (CLM) connector to its AI-native work management platform, enhancing efficiency and collaboration for in-house legal teams. Announced in a press release, this new capability allows seamless integration and data mapping with CLM systems, streamlining legal workflows and improving data visibility.

The integration enables information captured through Coheso's legal front door to be utilized throughout CLM systems, initiating downstream processes and populating contract templates. This enhancement reduces friction, eliminates duplicative data entry, and ensures consistency across legal and business operations. Fields are easily mapped between the Coheso platform and a client's CLM, allowing for flexibility and adaptability to various workflow tools.

Coheso's platform, which provides an AI-powered gateway for managing legal and compliance requests, now offers improved capabilities for contract-related tasks. This development follows a strategic investment from Tola Capital, supporting Coheso's vision to transform legal workflows through AI. Coheso will showcase this platform at upcoming industry conferences, including the CLOC Global Institute conference and the ITechLaw World Technology Law Conference.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Legal AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Legal AI Weekly

The source for the Legal AI software news, analysis, emerging applications: contract review, e-discovery, research.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.