Align legal with product goals, anticipate roadblocks, and ship smarter.
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Lawtrades Evals

Legal Minds Powering the Next Generation of AI

The world’s leading AI companies don’t just need more compute; they need better judgment. Lawtrades connects your product teams with elite legal talent to evaluate, calibrate, and shape the models of tomorrow.

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What We Offer

Expert RLHF (Reinforcement Learning from Human Feedback)

Domain-specific feedback from JD-holders to align models with legal reality.

Precision Rubric Design

We build the grading architecture your AI needs to measure accuracy, nuance, and risk.

Adversarial Red Teaming

Stress-testing outputs against global regulations and internal safety playbooks.

Rule-Following Verification

Measuring model success against your specific "gold standard" playbooks.

Prompt Engineering & Optimization

Expert-led iterative testing to find the "perfect prompt" for complex legal tasks.

Synthetic Data Annotation

High-fidelity labeling for contracts and legal explanations to build superior training sets.

Dynamic Redline Testing

Real-world evaluation of how models handle complex negotiation and contract markups.

Human-in-the-Loop Iteration

Constant, real-time feedback loops to fix product "drift" before it hits production.

Use Cases

Legal Tech Companies

Rapidly benchmark your product against real world attorney insights.
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LLMs & Foundation Models

Scale expert-led annotations to solve complex legal reasoning tasks and evaluate outputs.
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Corporate Clients

Ensure your internal AI assistants follow strict corporate governance, privacy, and procurement playbooks.

How It Works

Define Your Benchmark

01

We work with your product team to identify the legal "edge cases" your model needs to master.

Match with
Elite Talent

02

We deploy a dedicated squad of tech-forward lawyers hand-picked for your specific use case.

Iterate, Scale, & Optimize

03

Our talent integrates into your workflow to capture fast, real-time feedback, enabling rapid iteration and optimization of new product features and workflows.

Frequently asked questions

How do you ensure the lawyers are "AI-literate"?
Every Lawtrades professional in our AI-eval track undergoes a screening process to test their ability to think in rubrics and provide structured, machine-readable feedback.
Can we use our own proprietary playbooks?
Absolutely.
Our talent is trained to execute precisely against your specific internal rules, risk tolerances, and tone-of-voice guidelines.
How fast can you scale a squad for a major project?
We can typically have a calibrated squad of 5–50 legal evaluators ready to work within 48 to 72 hours.
Do you offer API integration for the feedback loop?
We work within your existing tools—whether that’s a custom dashboard, Labelbox, or directly in your product’s staging environment.
How do you handle "hallucination" testing?
We use adversarial prompting to trick the model into citing fake cases or misapplying laws, then provide the "ground truth" correction.

Ready to build a smarter model?

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