Complete
Carry a document-heavy assignment through many steps to a finished deliverable without relying on an ever-growing chat transcript.
Legal AI
A persistent legal AI system that carries a matter from source files to finished work. It maintains the matter state, improves completed drafts, applies your firm's standards and preserves an auditable record across the models and tools your firm approves.
Start with one workflow using public or synthetic data. No production integration or confidential client data required.
How it works
Carry a document-heavy assignment through many steps to a finished deliverable without relying on an ever-growing chat transcript.
Independently review completed work, identify valid omissions and make bounded repairs without access to an answer key.
Check the work against your firm’s required sections, issue checks, citation rules, risk treatment and approval conditions.
When a matter warrants broader intelligence, bring in independent reviewers while preserving the strongest existing work.
Turn approved corrections into candidate reusable skills, then test them before anything becomes part of the firm’s lasting capability.
Matter workspace
Sources, issues, decisions, standards, work products, open tasks and review history persist outside any single model conversation. A lawyer can interrupt the work, revise it, change models and resume without reconstructing the matter from a transcript.
Carry every required deliverable to completion and verify what remains open.
A development task, visualised from the run log.
Identify what is missing, quote the supporting source and propose a bounded correction.
Product footage.
Instructions, sources, standards and saved versions remain connected. Every accepted change creates a recoverable version.
Product footage.The first engagement
Choose one recurring, document-heavy workflow. Your lawyers define the assignment and reusable professional standard before the matter is opened. We run the same public or synthetic source packet through the firm's ordinary AI process and Rekursor, then your lawyers evaluate the resulting artifacts blind.
Start with work that has clear deliverables and a meaningful standard for quality.
Define good work before the final source packet is selected or opened.
Use the same source materials and compare Rekursor with the firm's ordinary AI process.
Let practicing lawyers judge the work without knowing which system produced it.
Deliverables completed, factual and citation accuracy, requirements satisfied, valid issues added, correct material lost, lawyer correction time, turnaround and cost.
Deployment
The first pilot uses public or synthetic materials and requires no production integration. If the result justifies a second step, deployment can progress through de-identified evaluation, a limited real-work pilot and then an approved practice-group environment.
Use locally deployed models when the workflow requires them.
Nothing is quietly sent to an unapproved model or environment.
Standards, evaluation history and approved skills remain under the firm's control.
Accepted changes create new versions, and the original work remains recoverable.
Bring the AI you use today and your own standard for good work. We'll show you what changes.