6 models across 1 family · Latest: Saul 141B (2024-07)
Open legal AI models for all
Equall's portfolio covers 6 active models across 1 non-obsolete family, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 0 decision-task tags, 6 active tracked models, latest research stamp 2026-05-04.
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Active models
6
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
0
Need benchmarks or capability flags
Latest dated release
2024-07-28
Saul 141B
Freshness
2026-05-04
Researched 31d ago
Release cadence
Showing 5 recent dated ships (full timeline below). Latest spotlight: Saul 141B (2024-07-28).
Where this lab wins
Task positioning unavailable until capability tags or benchmarks populate for active SKUs.
Flagship quality / price signal
Anchor SKU: Saul 141B (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Equall is an American AI research organization founded in 2024. Open legal AI models for all. Equall ships 1 model family totaling 6 models, with the most recent release Saul 141B in 2024-07. Notable families include SaulLM. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts. View official API endpoints, benchmark performance, and coding/agent fit for every Equall model.
About
Equall stands at the forefront of the legal AI landscape by transforming how legal professionals engage with complex legal data through the power of generative AI and Large Language Models (LLMs). Founded in New York in 2024, the company unites seasoned lawyers, researchers, and engineers to pioneer legal technologies capable of redefining risk management in the sector 1. Their standout contribution is the development of SaulLM, a groundbreaking series of open language models designed explicitly for legal applications. This innovation marks a significant leap in the integration of LLMs within the legal field, potentially revolutionizing how legal professionals access and leverage information. The development of SaulLM exemplifies Equall's commitment to cutting-edge technology, as these models were trained using AMD Instinct MI250X accelerators. This choice reflects Equall's dedication to employing state-of-the-art hardware to enable large-scale, efficient, and economically feasible model training 9. Pierre Colombo, Chief Scientist at Equall, has highlighted the critical role that AMD technology plays in underpinning scalable solutions for legal professionals 9. Equall's approach to training SaulLM is noteworthy for its use of a domain adaptation strategy that incorporates continued pretraining, instruction tuning tailored to legal intricacies, and preference alignment. This methodology ensures that SaulLM models are attuned to the specialized language and reasoning processes inherent in legal contexts. Additionally, the open-source nature of SaulLM underscores Equall's dedication to fostering collaboration and advancement within the legal AI domain 5. The performance of SaulLM on LegalBench has been impressive, outshining larger models in specific tasks and suggesting that smaller, well-tailored models can perform effectively in niche domains 7. Nonetheless, Equall acknowledges the need for more granular benchmarks to thoroughly evaluate their models' capabilities and potential areas for improvement 7. While Equall's website predominantly emphasizes their AI's application to legal risk management, their significant contributions to generative AI and LLMs enhance their reputation as pioneers in legal AI technology. The company's work has attracted media attention, gaining mentions in publications and showcasing at prestigious events like the Élysée Palace's AI talent gathering 5. Through their innovative efforts, Equall is shaping the future of how legal data is utilized and navigated by professionals worldwide.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Saul 141B | 2024-07-28 | 66k | - | - | MIT |
| Saul 141B Instruct | 2024-07-28 | 66k | - | - | MIT |
| Saul 54B | 2024-07-28 | 33k | - | - | MIT |
Model families
Recent releases
- Saul 141B- 2024-07-28
- Saul 141B Instruct- 2024-07-28
- Saul 54B- 2024-07-28
- Saul 54B Instruct- 2024-07-28
- Saul 7B Instruct- 2024-03-06
FAQ
Who founded Equall and when?
Equall was founded in 2024 and is associated with New York, New York, United States.
What models has Equall released?
Equall ships 6 models across 1 family: SaulLM.
Is Equall's technology open source?
All tracked models are released under MIT.
Where is Equall headquartered?
Equall is headquartered in New York, New York, United States.
What is Equall known for?
Open legal AI models for all. Its most prominent tracked family is SaulLM.
How can I access Equall's models?
Equall's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-05-04. Data sourced from public lab announcements and provider documentation.