Aquiles-ai/Harvey-9B
Aquiles-ai/Harvey-9B is a 9 billion parameter language model fine-tuned for legal reasoning within Salvadoran jurisprudence, developed by Aquiles-ai. It specializes in understanding judicial reasoning patterns from 3,311 real judicial resolutions, covering constitutional, criminal, family, civil, administrative, labor, and environmental law. The model's primary strength lies in identifying legal issues, applying normative frameworks, and analyzing jurisprudential criteria specific to El Salvador, with a context length of 32768 tokens. It is designed to assist citizens, law students, and lawyers in navigating Salvadoran law by providing structured legal analysis and uncertainty calibration.
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Model Overview
Harvey-9B, developed by Aquiles-ai, is a 9 billion parameter language model specifically fine-tuned for legal reasoning in the context of Salvadoran jurisprudence. It was trained on a synthetic dataset derived from 3,311 real judicial resolutions from El Salvador's official jurisprudence portal, encompassing various legal domains such as constitutional, criminal, and civil law. The model's core capability is to learn and apply judicial reasoning patterns, rather than memorizing legal articles, focusing on how Salvadoran courts identify issues, apply norms, and reference jurisprudential criteria.
Key Capabilities
- Specialized Legal Reasoning: Understands and applies reasoning patterns from Salvadoran judicial resolutions.
- Structured Analysis: Provides responses following a structured pattern: problem identification, applicable framework, jurisprudential analysis, application to the case, and uncertainty calibration.
- Uncertainty Calibration: Explicitly flags legal ambiguities with
CLEAR,INTERPRETATION, orMANDATORY CONSULTATIONlevels. - Tool Calling: The latest checkpoint retains tool calling capabilities, enhancing its utility in integrated systems.
- Refusal of High-Stakes Advice: Explicitly trained to refuse or flag situations requiring professional legal counsel or involving irreversible consequences.
Intended Use Cases
- Citizens without legal knowledge: To understand their rights and legal processes in El Salvador.
- Law students: For reasoning about cases, articulating normative conflicts, and citing sources.
- Lawyers: As a starting point for fast legal research and accelerating professional judgment.
Limitations
- Geographic Scope: Reasons exclusively about Salvadoran law.
- Training Data Cutoff: Reflects jurisprudence up to March 2026; does not include newer legal reforms.
- No Real-Time Retrieval: Designed to be paired with a retrieval tool for current legal texts, not as a standalone legal encyclopedia.
- Hallucination Risk: May generate plausible but unverified reasoning in areas without consolidated jurisprudence, though its calibration system aims to mitigate this.