A legal and policy decision-making platform driven by AI provides transparency and uses verifiable data to support its recommendations. It will reduce the number of times LLMs hallucinate and will allow for the safe use of LLMs in
A legal and policy decision-making platform driven by AI provides transparency and uses verifiable data to support its recommendations. It will reduce the number of times LLMs hallucinate and will allow for the safe use of LLMs in
Project Details
Updated 07/02/26 · Edited by orgWith the increasing use of large-language models in legal compliance, procurement, and governance processes, there are issues with trusting their outputs because the models may generate confident outputs with no reliable evidence and without disclosing uncertainty. The use of AI to assist in making high-impact decisions creates risks for organizations.The ConsensoOS solution uses a retrieval-augmented generation (RAG) architecture combined with specialized analysis pipelines for contracts and policies to recommend decisions based on an evidence-based approach. The recommendations provided by ConsensoOS are linked to source documents (via citations, confidence rating, and audit trail) and do not rely on opaque generative responses. ConsensoOS also has guardrails in place to prevent hallucinations; it will automatically map compliance with common regulatory frameworks, including GDPR, ISO 27001, SOC 2, HIPAA, and the EU AI act; and include an interactive "playbook" feature to allow users to interrogate documents with fidelity to their source.
The initiative seeks to further develop these features through creating an open evaluation framework in order to effectively measure citation fidelity/hallucination rates/uncertainty consistent across repeated evaluations/reasoning grounded use in enterprise AI.Deliverables from this effort will include:
1.Open evaluation benchmarks
2.An AI safety evaluation toolkit
3.Enterprise document grounding framework
4.Open documentation and deployment guides
5.Research findings about how AI can be used in legal and compliance not just trustworthy.
Theory of Impact
Updated 07/02/26 · By grantmaking.aiOne of the biggest future threats resulting from sophisticated AI systems is that users will depend on their persuasive outputs through an inability to independently verify those results. As elements of AI technology are integrated into governments, healthcare, financial, legal, and critical infrastructure, unsupported reasoning and fantasies will create systemic failures.
ConsensoOS aims to mitigate this risk by providing greater transparency and not just increased capability through the following:
Ground every AI response with documented verifiable data
Reduce hallucinations through reasoning with retrieval techniques
Expose uncertainty instead of blindly giving undue confidence in any assertion
Provide for independent auditing of AI recommendations
Develop performance measures for the evaluation of trustworthy AI systems
Encourage human oversight for all significant decisions
ConsensoOS does not develop larger models but develops the infrastructure to make the current AI systems safer, more interpretable, and more easily governed in business settings.
People
Updated 07/02/26 · By grantmaking.aiTeam Member
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