Make your legal AI more complete. Make every review count.
Rekursor is a model-independent reliability and learning layer for legal work. It improves the current matter, then turns approved expert review into governed capability for future matters.
It works with the models, AI platforms and proprietary systems your firm already uses, allowing the firm to improve performance without giving up control of what it learns.
Every grading criterion satisfied on 17 of 50 held-out public tasks, with no rubric, answer key or grader feedback available during generation.
To our knowledge, as of July 23, 2026, this is the highest reported all-pass rate across published Harvey LAB-derived evaluations. Different task cohorts, graders and harnesses are not directly comparable.
This is a Rekursor system result built around GLM-5.2, not a standalone model claim. It demonstrates legal-work performance before adding any firm-specific knowledge.
Review the published resultBetter work now. A stronger firm standard over time.
Most legal AI starts fresh on every matter. Rekursor adds a controlled path from today's work product to reusable firm capability while keeping lawyers in control of what the system is permitted to retain.
Improve the completeness of legal work product, not just its fluency, before it reaches a senior lawyer.
Turn approved expert corrections into governed capability without treating every edit as equally valuable.
Test proposed improvements on unseen matters and retain only changes that improve the firm's defined standard.
Keep firm-specific standards and learning portable across the models and platforms the firm chooses.
Keep more of the surplus AI creates.
Generic AI can lower the cost of producing a first draft. Durable advantage comes from reducing the senior review needed to make that work complete and ensuring the resulting know-how strengthens the firm, not only an outside platform.
- Less senior-lawyer time spent correcting recurring defects
- More capacity without relaxing the firm's quality standard
- Better economics for fixed-fee and capped-fee work
- Firm-owned differentiation that can improve across matters
Keep the stack. Own the intelligence.
Rekursor is not another general-purpose legal assistant. It is an operating layer for workflows where the firm's own standard matters. Begin with one recurring deliverable, connect to the tools already in use and measure the difference.
First-pass diligence, agreement review, issue lists and recurring transaction work product.
Fact chronologies, motion support, discovery analysis and record-grounded work product.
Compliance analysis, regulatory submissions and recurring advisory workflows.
Application review, prosecution analysis and identification of legally material defects.
One workflow. One baseline. One controlled test.
Start with a recurring deliverable where quality matters, examples exist and the firm can evaluate improvement against its current process.
- Define the workflow, present standard and evaluation boundary
- Run the firm's current model or vendor process as the baseline
- Compare Rekursor on the same source materials and unseen matters
- Measure completeness, material defects, review burden, turnaround time and cost
- If authorized, test whether approved review improves a second unseen cohort
Firm knowledge stays a firm asset.
The firm controls its documents, corrections, standards, firm-specific learning assets, evaluations and deployment decisions, subject to the engagement agreement.
Rekursor retains its proprietary software, patent-pending architecture and general methods. The boundary is designed to let the firm build distinctive capability without disclosing the implementation that makes the system work.
Find one workflow where your firm should keep more of the AI advantage.
Compare Rekursor with the firm's current process on the same work, under the firm's own quality standard.
Discuss a One-Workflow Evaluation