LiLabs is initiated by LegalVC. We bring legal practitioners and AI builders together to transform hard-won professional experience into structured, executable, testable and reusable legal capabilities through knowledge engineering and AI agents.
Expertise is the raw material. Engineering is the craft. Legal intelligence is what we shape together.
We focus on more than what a model can say. We work on how legal expertise can be understood, structured, tested and improved in real workflows.
Important knowledge in law is found not only in statutes and published decisions, but also in the judgment, risk recognition, working methods and problem-solving experience developed by lawyers, in-house counsel and other legal professionals.
Much of this expertise remains tacit—embedded in individual practice, matter handling and team routines. LiLabs works with practitioners to identify valuable experience, clarify when it applies, and articulate the steps, standards and boundaries behind professional decisions.
Through knowledge engineering and AI, we shape appropriately authorized and professionally reviewed experience into capabilities that can be inspected, tested and reused—extending the value of expertise into new work settings.
Professional experience does not become reliable AI capability simply by placing documents into a model. It must be discovered, structured, engineered and evaluated.
Identify high-value experience in recurring tasks, real workflows and professional practice. Define the problem, use case and conditions in which the experience applies.
Articulate relevant facts, decision rules, reasoning steps, output standards, exceptions and escalation conditions as structured experience assets.
Turn experience assets into Legal Agents, then connect tools, knowledge sources and human checkpoints in task-oriented workflows.
Test outputs against defined cases and professional standards. Use source traceability, permissions, review and versioning to inspect capability and limits over time.
LiLabs develops the foundations for legal experience assets, agent engineering, evaluation and governance—so individual capabilities can become dependable workflows.
Capture scope, inputs, decision steps, output standards, risk boundaries and escalation rules. Manage expertise as authorized, versioned and reusable assets.
Use interviews, matter reviews, workflow models and rule extraction to make tacit expertise structured, machine-usable and professionally reviewable.
Organize agents, tools, knowledge sources and human checkpoints around defined legal tasks—from contracts and compliance to disputes and litigation preparation.
Establish test sets, quality measures, source traceability, access controls, professional review and version management so capability and limits can be inspected.
LexClaw is the AI legal work system built by LiLabs. It starts with a real task, brings together relevant legal agents and workflow steps, and helps users understand legal issues, organize facts and materials, and produce work that can be traced, checked and reviewed.
Explore collaborationWe connect the holders of expertise, the builders of capabilities and the organizations with real-world use cases—grounding legal intelligence in professional practice.
Lawyers, in-house counsel and legal experts contribute experience, professional insight and decision standards, and participate in extraction, review and co-creation.
AI engineers, knowledge engineers and product teams turn expertise into structured assets, Skills, Legal Agents and practical workflows.
Law firms, companies and ecosystem partners bring real tasks and validation environments to explore sustainable applications and delivery models.
Legal intelligence should be useful—and its sources, permissions, quality and human responsibilities should remain understandable and inspectable.
Where possible, connect material conclusions to legal sources, inputs and applicable versions.
Respect data rights and personal information; use experience assets only within authorized scope.
Set appropriate review checkpoints for consequential legal judgments and high-impact matters.
Use tests, records and version control to inspect performance and changes over time.
LiLabs welcomes legal professionals, AI builders, product teams and institutions to explore the next way of working with legal intelligence.