Build on Infrastructure, Not Hype.

We've built, sold, advised, invested in, and partnered with dozens of legal technology companies. We know the difference between a demo that impresses and a product that ships — and what infrastructure you need to get from one to the other.

Common Challenges

What Legal Tech Teams Are Solving

Legal technology companies face a distinct set of technical and market challenges in the agentic era. These are the problems we help solve.

Data Infrastructure Gaps

Agentic AI requires structured, current, high-quality legal data. Most legal tech companies are building custom pipelines for statutes, regulations, case law, and filings — duplicating effort that should be shared infrastructure.

AI Integration Depth

Adding a chatbot is not AI integration. Real value comes from deeply embedding AI into workflows — agentic systems that perceive, reason, and act. That requires architectural decisions most teams haven't faced before.

Market Intelligence

Understanding your buyers — which firms are growing, which are consolidating, who the decision-makers are, what their technology stacks look like — is critical for go-to-market but expensive to build internally.

Product Positioning in a Noisy Market

Every legal tech company claims AI. Differentiation requires genuine technical depth and the ability to articulate what your product does that others cannot. Marketing copy isn't enough — you need architectural credibility.

How We Help

Architecture, Data, Intelligence

Technical Depth, Market Knowledge

We're not generalist consultants advising on legal tech from the outside. We've co-founded, built, and sold a legal AI company. We publish research, contribute to open-source AI infrastructure, and build production systems. We bring builder credibility to every engagement.

Architecture Advisory

We help your engineering team design AI architectures that scale. From model selection and fine-tuning strategies to agentic workflow design and evaluation frameworks. We've shipped production AI systems in legal — we know what works.

Data Infrastructure via Kelvin

Kelvin Agentic OS provides the legal data infrastructure your AI products need: structured access to statutes, regulations, case law, filings, and organizational data through Python libraries, APIs, and MCP servers. Build on shared infrastructure instead of reinventing it.

Market Intelligence via KLI

Kelvin Intelligence gives you structured data on 33K+ organizations and 277K+ legal professionals — 1.1M+ practice area tags, 508K+ bar admissions, and SEC/EDGAR integration. Power your go-to-market with data, not guesswork.

Strategic Advisory

Product strategy, market positioning, and go-to-market planning grounded in two decades of building and selling legal technology. We've been founders, we've been operators, and we've been on the buy side.

Technical Capabilities

What We Bring to Your Engineering Team

From Research to Production

Our team publishes peer-reviewed AI research and builds production systems. That combination means we can help you with both the science and the engineering — not just one or the other.

Agentic System Design

Design and implementation of agentic AI systems using the GPA (Goal, Perception, Action) framework. We help you build AI agents that reason over legal data, plan multi-step workflows, and take actions with appropriate human oversight.

Legal NLP and Data Science

Deep expertise in legal natural language processing — from named entity recognition and clause classification to document similarity and outcome prediction. Published research backing practical implementation.

Evaluation and Quality Frameworks

AI products in legal need rigorous evaluation. We help you build testing, benchmarking, and monitoring systems that give your customers confidence and your team signal on what to improve.

Open-Source and Standards

Through the ALEA Institute, our team contributes to open-source AI research and legal data standards. We help you build on open foundations while maintaining competitive differentiation.

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