Analysis in minutes
Automate final-stage analysis and move a review-ready package into institutional review in the same session.
AI thority delivers consistent, reasoned decisions at the final stage of dispute resolution — with the speed, transparency, and institutional controls modern ADR workflows demand.
Request pilot detailsThe final mile is the bottleneck
Dispute resolution organizations are under pressure to move faster without sacrificing quality or consistency.
When qualified neutrals are not available on the dates required, cases wait and throughput tightens.1
Even arbitration can take months from filing to award, extending the time before a matter is resolved.2
Document-by-document review adds significant time and cost to evidence-intensive matters.3
Empirical studies have found outcome differences associated with repeat-player dynamics.4
Automate final-stage analysis and move a review-ready package into institutional review in the same session.
Reduce repetitive evidence review without changing case administration.
Evaluate governing law, contractual terms, and evidence through one repeatable framework.
Deliver reasoned outcomes with citations tied to evidence and law.
Built for use by dispute-resolution providers.
Focused on the final decision stage once a case is fully presented.
Available through a secure administrative interface or API.
AI thority integrates with the systems institutions already use. Cases can enter manually through a secure administrative workflow or programmatically through API — without replacing case administration.
The surrounding process stays familiar while the decision stage becomes faster, more structured, and easier to verify.
Each decision-ready case is independently evaluated by multiple AI models. AI thority reconciles their structured outputs before institutional review.
A completed case enters through the secure administrative workspace or directly from existing case-management systems through API. Evidence files are cryptographically fingerprinted and the case record is frozen before analysis begins.
An odd-numbered panel of independent models reads the original record directly. Each model evaluates relevance, legal elements, governing terms, requested relief, and evidence citations within the same defined analytical framework. The models operate in parallel, and their outputs remain separate until the consensus process.
AI thority’s proprietary matrix applies deterministic analysis across the panel’s structured outputs — including outcome, law, reasoning, amount, and evidence weighting. A final, separately bounded model then performs a coherence check after the algorithm.
Institutional reviewers can inspect the decision matrix, model outputs, and coherence result before release. Any override creates a new record linked to the original rather than silently changing the audit trail.
The final output is assembled into an evidence-linked decision package, cryptographically signed with the organization’s key, and stored as a tamper-evident record that can be independently verified.
The file is complete. The submissions are in. The evidence is there. The difference is no longer what work gets done, but how long the final decision waits to take shape.
The record is complete, but substantive review still depends on neutral availability.
You coordinate calendars while competing caseloads determine when substantive review can begin.
You follow the record as it moves across already crowded professional calendars.
A reasoned outcome arrives weeks after your case became decision-ready.
Your record moves directly into the secure decision workflow.
Independent models analyze the record in parallel while the proprietary matrix and bounded coherence check evaluate the structured outputs.
A signed, evidence-linked decision package is ready for your institutional oversight.
Minutes per case compared with approximately 30–60 days from arbitrator assignment to decision.
What took weeks can move in hours — and it still feels like your workflow.
See what this could look like in your workflow
Request pilot detailsStructured decision outputs support institutional review, accountability, and procedural control.
Structured case data, agreements, contentions, and evidence — not reputation or presentation style.
Multiple independent models improve consistency and reduce subjective variance.
Every conclusion links back to evidence and law, creating a transparent and auditable trail.
Experience spanning institutional dispute resolution, digital ADR, legal strategy, and the realities of adjudicating complex matters.
Experience across AI architecture, cloud systems, secure delivery models, and technology designed for institutional scale.
The platform is strengthened by operators who understand the systems surrounding the decision—not only the decision itself.
Cybersecurity, cloud architecture, compliance, and operating experience in high-trust environments.
Perspective shaped by financial institutions, asset management, and complex operational systems.
Leadership across enterprise sales, strategic partnerships, and high-stakes organizational growth.
Pilot AI thority with your cases, systems, and review process. It runs outside your environment, alongside your existing ADR workflow.
Access detailed materials on the technology, pilots, infrastructure, and long-term direction of AI decisioning for qualified investors and strategic partners.
Have a question or want to learn more? Reach our team directly.