Talk is cheap.
Creating is harder.
Nexlaw Labs is where we build in the open and share our work.
Law Firm Sandbox
Building real data products requires real data.
After hundreds of engagements with firms, vendors, and consultants, we've learned that access to production financial and operational data is the blocker to innovation — in KM, in BI, now in AI and agentic systems. We created the sandbox and firmgen to remove this blocker.
Built around the things AI actually needs to work in legal: integration, evaluation, and context.
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.
Crawl and extract firm, attorney, and practice profiles from law firm sites.
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.