Legal AI Data Solutions:
Expert Evaluation, RLHF & Fine Tuning

The Bridge Between Artificial Intelligence and Legal Precision.

General-purpose Large Language Models (LLMs) often miss legal nuance and reasoning. Percipient provides data evaluation infrastructure driven by attorneys and legal professionals to improve the legal accuracy of AI models.

We utilize our existing expertise as a legal services provider to provide cutting-edge Reinforcement Learning from Human Feedback (RLHF) and expert evaluations to ensure your AI is accurate and legally sound.

Schedule a Discovery Call

Legal RLHF and Expert Evaluations

Scale your model’s reasoning capabilities with high-quality feedback from licensed attorneys, and other experienced and vetted legal professionals. Our team possess the "legal intuition" that AI lacks. Unlike generalist evaluations and crowdsourced feedback, our evaluations are performed by experts who understand both law and technology.

• Ranking & Scoring: Expert comparison of model outputs for legal accuracy, tone, and adherence to specific instructions.

• Chain-of-Thought (CoT) Prompting: We do not just check if a model's answer is correct, we provide the step-by-step logic of legal analysis.

• Instruction Following: Fine-tuning models to handle specific legal tasks (e.g., contract redlines, legal research, or electronic discovery and document review).

Expert Evaluation & Benchmarking

We provide rigorous, human-in-the-loop evaluation to measure AI performance against real-world legal standards.

• Custom Legal Benchmarks: We can assist with the development of evaluation sets based on nuanced case law, statutes, and regulatory frameworks.

• Hallucination Mitigation: Specialized review to ensure citations and legal “facts” generated by the AI are verified against primary sources.

Real World Legal Training Data

Accurate AI requires high-quality training data. We curate and generate complex legal datasets in various areas of the law and establish the ground truth for AI legal reasoning.

• SFT (Supervised Fine-Tuning) Datasets: Creating "Golden Sets" based on legal workflows, expert-written legal summaries, contract analyses, and other complex tasks like estate planning and corporate entity formation.

• Practice Area-Specific Data Labeling: Multi-layered tagging and data annotation for various areas of law including transactional data, litigation and e-discovery.

• Data Privacy & De-identification: All data is anonymized leveraging our secure and proprietary infrastructure to handle sensitive legal data while maintaining strict confidentiality.

Model Flexibility

Our RL services are flexible and provide an expert human layer for both frontier models and also for enterprises working on their own AI environments. Our legal experts are trained to optimize and fine-tune performance across various architectures, ensuring your specific legal requirements are met regardless of the underlying technology.

Legal AI Data Solutions
Expert Evaluation, Data and AI Services.

The Bridge Between Artificial Intelligence and Legal Precision.

General-purpose Large Language Models (LLMs) often miss legal nuance and reasoning. Percipient provides data evaluation infrastructure driven by attorneys and legal professionals to improve the legal accuracy of AI models.

We utilize our existing expertise as a legal services provider to provide cutting-edge Reinforcement Learning from Human Feedback (RLHF) and expert evaluations to ensure your AI is accurate and legally sound.

Schedule a Discovery Call

Legal RLHF and Expert Evaluations

Scale your model’s reasoning capabilities with high-quality feedback from licensed attorneys, and other experienced and vetted legal professionals.

Our team possess the “legal intuition” that AI lacks. Unlike generalist evaluations and crowdsourced feedback, our evaluations are performed by experts who understand both law and technology.
• Ranking & Scoring: Expert comparison of model outputs for legal accuracy, tone, and adherence to specific instructions.

• Chain-of-Thought (CoT) Prompting: We do not just check if a model’s answer is correct, we provide the step-by-step logic of legal analysis.

• Instruction Following: Fine-tuning models to handle specific legal tasks (e.g., contract redlines, legal research, or electronic discovery and document review).

Expert Evaluation & Benchmarking

We provide rigorous, human-in-the-loop evaluation to measure AI performance against real-world legal standards.

• Custom Legal Benchmarks: We can assist with the development of evaluation sets based on nuanced case law, statutes, and regulatory frameworks.

• Hallucination Mitigation: Specialized review to ensure citations and legal “facts” generated by the AI are verified against primary sources.

Real World Legal Training Data

Accurate AI requires high-quality training data. We curate and generate complex legal datasets in various areas of the law and establish the ground truth for AI legal reasoning.
• SFT (Supervised Fine-Tuning) Datasets: Creating “Golden Sets” based on legal workflows, expert-written legal summaries, contract analyses, and other complex tasks like estate planning and corporate entity formation.

• Practice Area-Specific Data Labeling: Multi-layered tagging and data annotation for various areas of law including transactional data, litigation and e-discovery.

• Data Privacy & De-identification: All data is anonymized leveraging our secure and proprietary infrastructure to handle sensitive legal data while maintaining strict confidentiality.

Model Flexibility

Our RL services are flexible and provide an expert human layer for both frontier models and also for enterprises working on their own AI environments.

Our legal experts are trained to optimize and fine-tune performance across various architectures, ensuring your specific legal requirements are met regardless of the underlying technology.
WHY PARTNER WITH US?

Real Legal Professionals and Real Legal Data Not Marketing Hype and Crowdsourcing

Data vetted by real legal experts during real legal workflows

01

Expert-Led Intelligence

While data annotation companies offer broad RL coverage, Percipient offers domain depth. Data is analyzed by legal professionals who understand the difference between a "good" answer and a "legally correct" one.

02

Proven Legal Workflow Integration

We integrate AI evaluation directly into our existing workflows. We don't just understand data; we understand how and why it fits in to legal workflows.

03

Contextual Legal Nuance

While general-purpose RLHF focuses on helpfulness (summarize this document), accurate legal AI requires legal nuance (create a non-compete clause enforceable in Texas). A single missing word can change legal import. Percipient’s team applies experienced legal insight to model feedback not just providing an answer, but one that reflects the specific legal context of an issue.

04

Domain Expertise

We are more than a data labeling company. We are both legal professionals and technologists with many years of experience helping in-house legal teams and their law firms tackle real world legal processes.

YOUR QUESTIONS ANSWERED

Frequently Asked Questions

Our sole focus is AI data for legal uses. We are not a generalist data annotation company covering many disciplines nor do we crowdsource labor for high-volume data labeling. Percipient utilizes licensed attorneys and experienced, vetted legal professionals who understand the nuances of legal theory, jurisdictional hierarchy, and procedural rules. This ensures your model learns reasoning from legal specialists rather than just matching patterns.

We offer RL data for a broad range of legal tasks, including contract analysis and redlining, litigation related tasks, chain-of-thought reasoning for complex legal problems and rubrics and many other legal practice disciplines. Our legal professionals have experience in many different practice areas.

Yes. We can develop proprietary “Golden Training Sets”—expert-validated datasets tailored to your specific domain, whether it’s intellectual property, regulatory compliance, or insurance defense. This allows you to measure your model’s performance against real-world legal standards rather than generic benchmarks.

We are “model agnostic.” We provide the human intelligence layer for frontier AI companies,  enterprises building their own models, legal departments fine-tuning existing LLMs  for internal use, and legal tech startups looking to validate their product’s accuracy.

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Ready to improve your AI model’s legal performance?

Contact us today to learn how our legal expert-led RLHF and exert eval services can accelerate your AI development