Legal AI training data providers.
26 companies say on their own websites that they sell datasets and work on legal. 15 of them have revenue, a valuation or funding on record, and come first, largest first. Each line below is the company's own description, linked to the page it is on.
“Diverse datasets spanning professional, coding, research, agentic, and multimodal tasks.” its page
Data comes from: made by experts and contractors, replicas of real software, generated, licensed from its owners.
“Our off-the-shelf datasets are the same: thousands of hours of expert reasoning, pre-built and ready to use today, spanning RL environments, coding, and the core capabilities every model needs.” its page
Data comes from: made by experts and contractors.
“The environment where domain experts create, review, and deliver complex datasets across industries like healthcare, legal, finance, and more” its page
Data comes from: made by experts and contractors.
- Snorkel AI
#6 overall, $375M revenue, run rate, Sep 2026
“The Snorkel Data Series is a set of research-defined, non-exclusive dataset and environment products, refreshed quarterly as models advance.” its page
Data comes from: made by experts and contractors, the client's own data.
“We offer frontier AI labs custom and off-the-shelf datasets, RL environments, and human experts in software engineering, enterprise knowledge work, and frontier STEM.” its page
Data comes from: made by experts and contractors, replicas of real software.
“Appen provides specialist LLM training data across the full development pipeline, from initial fine-tuning demonstrations through to the expert preference feedback and adversarial testing that alignment requires.” its page
Data comes from: recorded from people and the real world, made by experts and contractors, licensed from its owners, generated.
- Invisible Technologies
#12 overall, $134M revenue, FY2024
“Model-ready, off-the-shelf data Datasets spanning professional work, code, and customer interactions. Available now.” its page
Data comes from: made by experts and contractors.
- AfterQuery
#13 overall, $100M revenue, run rate, Apr 2026
“Offers ready-to-deploy datasets across high-demand capability areas” its page
Data comes from: made by experts and contractors, recorded from people and the real world, generated, the client's own data.
“Expert-built, verified by code, and proven to transfer. ... License our off-the-shelf data for eval, SFT or RL.” its page
Data comes from: recorded from people and the real world, made by experts and contractors, generated.
“A larger, privately held dataset, which we license to companies for their own internal validation.” its page
Data comes from: made by experts and contractors.
- SuperAnnotate
#30 overall, $49.5M raised in total
“Versioned, audited datasets with full lineage from raw signal to train set.” its page
Data comes from: made by experts and contractors.
- Chakra Labs
#40 overall, $10.1M raised in total
“This dataset contains authentic computer interaction data collected from users performing real work tasks in productivity applications.” its page
Data comes from: made by experts and contractors, replicas of real software, recorded from people and the real world, generated.
“Now, we're offering off-the-shelf datasets across an even broader set of capabilities” its page
Data comes from: made by experts and contractors, the client's own data.
“Access continuously refreshed, expert-labeled multimodal data designed for teams building real-world robotics systems.” its page
Data comes from: made by experts and contractors, recorded from people and the real world.
- Poindexter Labs
#53 overall, $2.7M raised in total
“Poindexter Labs creates high-fidelity reasoning data and secure collaborative workflows that help frontier AI teams train, evaluate and improve advanced models.” its page
Data comes from: made by experts and contractors.
“Create custom high quality, premium datasets to enhance AI model performance by improving accuracy, domain expertise or to provide a consistent tone or style.” its page
Data comes from: made by experts and contractors, the client's own data.
“High-quality datasets. Domain-specific data that reflects the real complexity of regulated work.” its page
Data comes from: made by experts and contractors.
“Build reusable and reliable systems for producing high-quality synthetic data, tasks, and verifiers” its page
Data comes from: made by experts and contractors, generated.
“Large-scale conversational datasets across 22 official Indian languages.” its page
Data comes from: recorded from people and the real world.
“PhDs and professionals in mathematics, medicine, law, finance, and engineering providing expert-grade training data.” its page
Data comes from: made by experts and contractors.
“Read Perplexity's DRACO announcement and technical report, or explore the DRACO dataset on Hugging Face.” its page
Data comes from: generated, made by experts and contractors.
“Elite annotators. Scalable synthetic generation. One pipeline built for enterprise AI.” its page
Data comes from: made by experts and contractors, the client's own data, generated.
“from building high-quality training datasets to delivering production-ready models” its page
Data comes from: the client's own data.
“We prepare ready-to-use and custom datasets supporting a range of AI use cases” its page
Data comes from: made by experts and contractors, recorded from people and the real world.
“Pre-built datasets spanning RL environments, coding, and core capabilities.” its page
Data comes from: made by experts and contractors, the client's own data.
“Scripted and spontaneous recordings from diverse speaker populations.” its page
Data comes from: made by experts and contractors, recorded from people and the real world.
