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Equall builds AI-powered tools for legal data analysis to help lawyers and corporate clients manage legal risk. Its Saul family of large language models is trained specifically for the legal domain and can process live data to provide real-time issue-spotting, rule-application, and interpretation. Saul models are released to researchers to encourage transparency and collaboration, differentiating Equall from general-purpose AI providers. The company aims to augment human legal work with data-driven AI to simplify and improve risk assessment in modern legal services.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Legal
Company Size
1-10
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2024
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The Ageas INvest I venture capital fund, managed by Armilar Venture Partners, has invested €6 million in eight startups, including six Portuguese ones like Coverflex, and two international ones. The fund, capitalized with over €10 million, focuses on innovative insurance solutions. Ageas Portugal aims to continue supporting startups, leveraging strategic partnerships like those with Bdeo and Coverflex to enhance its insurance offerings.
Equall, developer of a legal platform designed to solve complex and real-world legal problems from beginning to end, raised venture funding from Armilar Venture Partners.
The power of open source on #legal LLM 😎 A team from Equall and CentraleSupélec trained on our Adastra supercomputer at CINES SaulLM-141B and SaulLM-54B: The…
Equall, a Paris-based genAI company, has released its new SaulLM-141B and 54B LLMs, specifically designed for the legal domain. The team claims that they outperform GPT4 and Mistral on a range of legal tasks. These models, which are much larger than those previously developed by the group, also once again raise the question: is it better to use a general LLM, or one specifically made for legal tasks? The new models were co-developed with CentraleSupélec at the Université Paris-Saclay and CINES. As to Equall, they say this about themselves: ‘We build serious products for serious legal work – and are redefining how lawyers and corporations deal with legal risk.’(And if you’d like to see another legally-focused LLM then check out 273’s KL3M.)In terms of the numbers 141 and 54, they refer to the tokens the models were trained on – in billions. They follow an earlier and much smaller experiment. Sources include multiple free libraries
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Legal
Company Size
1-10
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2024
Find jobs on Simplify and start your career today