AI that doesn't start over on every task.
Rekursor is an AI reliability and learning layer that helps institutions improve current work and turn approved expert review into governed capability over time.
Legal is our first commercial deployment. Begin with one recurring workflow and measure the improvement against the AI process your firm already uses.
34.0%
All-pass · Harvey LAB
17/50
Held-out public tasks
94.9%
Criteria passed
Rubric-blind
During generation
To our knowledge, 34% is the highest all-pass rate reported across published Harvey LAB-derived evaluations as of July 23, 2026. Results from different cohorts, graders and harnesses are not directly comparable.
The result demonstrates strong legal-work performance before any firm-specific knowledge is added.
Generic AI creates productivity. Firm-owned intelligence determines who captures its value.
Every firm can license capable models and legal AI platforms. A durable advantage comes from producing more complete work, preserving the firm's standards and making approved expert review useful on future matters.
Better work now. Firm-owned capability for what comes next.
Rekursor combines immediate legal-work reliability with a controlled path for approved lawyer review to improve future matters.
Rekursor helps reduce material omissions and incomplete work before final lawyer review.
Appropriate corrections can become governed capability for future matters without turning every edit into a firm-wide rule.
Rekursor's rubric-blind system satisfied every grading criterion on 17 of 50 held-out public tasks. The result measures the complete system, not GLM-5.2 alone.
For a firm, that lowers the cold-start risk: Rekursor begins with demonstrated legal-work capability before the firm adds its own standards and reviewed work.
Read the evaluationKeep the stack. Own the intelligence.
Rekursor is designed to work with the models, legal AI platforms and proprietary systems your firm already uses. Firm standards and approved learning remain controlled separately so they can persist as vendors and models change.
One workflow first. Infrastructure that compounds.
Rekursor begins with one repeated legal workflow where improvement can be measured. Once validated, the same reliability, evaluation and learning infrastructure can expand to adjacent work.
01
Increase the completeness of the deliverable before it reaches final lawyer review.
02
Make appropriate expert corrections available to improve future matters at the right scope.
03
Measure gains, regressions and review burden before an improvement becomes durable.
04
Keep firm-specific capability above the model layer so it can survive changes in vendors and models.
Legal is the first commercial deployment, not the boundary of the infrastructure. The same architecture applies wherever professional work must improve without surrendering institutional standards to a changing model layer.
PILOT
One workflow. A controlled comparison. Measured lift.
Test Rekursor against the AI process your firm already uses.
Rekursor compares the firm's current model or platform with the Rekursor system on unseen matters using the same source materials and the firm's evaluation standard.
The firm retains its documents, firm-specific intelligence and evaluation results, subject to the engagement agreement.
Evaluate a WorkflowLearning must earn its way into production.
Rekursor tests whether proposed improvements transfer without unacceptable regressions or review burden. The underlying continual-learning architecture is patent pending; implementation details remain proprietary.
FROM AI ACCESS TO FIRM ADVANTAGE
Find one workflow where your firm should keep more of the AI advantage.
Rekursor works with AI, innovation, knowledge and practice leaders to run controlled evaluations against the firm's existing process.
Discuss a One-Workflow Pilot