Syntracts Partners with AmLaw 25 Firm for On-Prem Contract Intelligence

Jun 17, 2025
Syntracts has announced a multi-year partnership with an AmLaw 25 firm to deploy its on-premise contract intelligence platform, enhancing data security and performance.
Syntracts Partners with AmLaw 25 Firm for On-Prem Contract Intelligence

Syntracts has announced a multi-year partnership with an AmLaw 25 Firm to implement its on-premise contract intelligence platform. Announced in a press release, this collaboration follows a six-month pilot and competitive evaluation, highlighting Syntracts' focus on data security and structured intelligence.

Syntracts' platform is designed for full on-premise deployment, avoiding reliance on third-party APIs or cloud-hosted models. Instead, it uses proprietary, open-source models trained on synthetic legal data derived from each client's documents. This approach ensures high accuracy and structured outputs tailored for legal workflows.

The deployment will cover every practice group at the firm, with a phased rollout over the next 24 months. Syntracts claims to reduce contract profiling time by at least 80%, with outputs ready for direct integration into legal workflows without the need for post-processing or human review. This partnership marks a significant step in the adoption of on-premise legal AI within the BigLaw sector.

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:

Legal AI Enterprise AI AI Brief AI Brief (X)
Free newsletter

Legal AI Weekly

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

AI Token Webinar

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

You may also like

Free, six days a week

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