Mission
The model is only one component in our intelligence system. Professional work also requires continuity, judgment, standards, review, learning and control.
Rekursor keeps those capabilities explicit, governed and owned by the organization, rather than trapping them inside one model, vendor or agent loop.
The model is interchangeable. Your firm's intelligence compounds.
Architecture
A cognitive core, surrounded by external components.
The AI model can be frontier, open-weight or locally deployed. The organization's state, standards, evaluation history and approved skills remain persistent and under its control.
- Working state
- Organizational standards
- Verified skills
- Evaluation history
- Governance
- Models
- Tools
- Reviewers
- Applications
- Infrastructure
Coordinate what changes
Use the model, tool, reviewer or infrastructure appropriate to each piece of work.
Preserve what compounds
Carry forward approved judgment and capability without binding it to any one component.
The distinction
More than a model. More durable than a loop.
A model reasons and generates. It is powerful, but it does not contain the whole operating system for professional work.
An agent loop executes a task. It can call tools and take steps, but usually starts the next task without governed continuity.
Rekursor preserves the cognitive system. It maintains state, applies standards, verifies work and admits only proven capability into what the organization keeps.
Post-training changes the model. Rekursor changes the system around it.
Ownership
Change the model without losing what the system knows.
An organization's intelligence already exists in its decisions, corrections, workflows, standards and expert judgment. Rekursor turns approved parts of that knowledge into explicit, versioned and portable capability.
Fine-tuning can optimize stable behaviors inside a model. Rekursor addresses the capabilities organizations need to inspect and control directly: live matter state, changing standards, review policy, human approvals, provenance and reusable procedures.
Choose your models. Own what the system learns.
First deployment
Private Associate: the complete system for legal work.
Legal work makes the requirements visible: long matters, explicit standards, independent review, every fact traced to its source, and work that must remain inside the firm.
Private Associate brings the cognitive core to that environment. Legal is our first commercial deployment, not the boundary.
See Private AssociateResearch
The research record.
- Jul 21, 2026
A new bar for legal AI on Harvey LAB
34% all-pass on 50 held-out public tasks, rubric-blind.
- Jun 16, 2026
Continual learning needs a bouncer
Learning without forgetting, and what breaks when verification is removed.
- Jun 2, 2026
Beyond frontier model performance for legal AI agents
Transfer, autonomous revision, reliability and routing at scale on Harvey LAB.
- May 20, 2026
Continual learning on Harvey's Legal Agent Benchmark
The same agent and judge move from 45/48 to 48/48 with zero regressions.