A research initiative of Nexlaw Partners
Applied AI for the business of law.
Real-world builds, co-designed with firms and legal tech partners on real or synthetic data, to put AI and automation to the test.
Try AI before you buy (or build) in a synthetic firm sandbox
A sandbox is a simulated law firm, with years of detailed and high-fidelity financial, operational, and organizational data artificially generated by FirmGen. Walk through an example sandbox now, or contact us to stand up a sandbox that emulates your firm's data for safe builds, demos, or R&D. For new design partners, the first build is on us.
Active Projects
An engine for generating synthetic firm data.
Automated methods and models that produce high-fidelity transactional data from the bottom up — driven by dozens of factors and compositional dimensions that define a firm's shape, size, and focus.
Own the AI integration layer.
MCP is the standard for connecting AI assistants to firm data. Tools-only servers aren't enough; renting it piecemeal from rotating vendors is a structural mistake. A brief on what MCP offers, why a firm-hosted gateway is the right shape, and what safe means in legal-specific terms.
Evaluate AI skills using defined rubrics.
A bake-off harness for AI legal skills. Run controlled evaluations across models and prompts using researched “model-as-judge” techniques and severity-weighted rubrics.
Turn law firm websites into structured profiles.
An automated harvester that turns public firm websites into structured profiles — people, practices, offices, credentials — refreshed on a schedule and ready to feed downstream data and AI workflows.
Adaptive interview and insights platform.
An agentic interviewer and researcher that gathers information at scale through natural conversation — optimizing question structure against interview-defined data targets, previous answers, tone, and pace. An experiment in replacing rigid, tedious survey-based research.