Domain-tuned document and search AI
Extraction, classification, and search over large legal and patent corpora, using fine-tuned models, embeddings, prompt engineering, and vector databases rather than off-the-shelf output.
We build legal and intellectual-property AI, the operational systems firms run on, and the backend that carries a legal-AI product from MVP to scale. The patterns below recur across the legal platforms we deliver.
Extraction, classification, and search over large legal and patent corpora, using fine-tuned models, embeddings, prompt engineering, and vector databases rather than off-the-shelf output.
Quality measured against expert ground truth on precision, recall, and ranking, so results match what examiners and attorneys actually expect.
Reasoning over a firm's own corpus with provenance and review built in, so every answer can be traced to its source.
Taking a launched legal-AI product and building the backend infrastructure to scale reliably to many more users.
Systems for managing intellectual-property rights, including registering and managing IP on blockchain.
Matter management, intake, and workflow systems tailored to how a firm actually works, replacing partial-fit SaaS.
Tell us the problem and we will tell you whether it is a new build, a transformation, or an embedded team.