Policy in. Work executed with guardrails. Evidence and audit out.
Regulated AI needs more than a responsible AI statement. Forlex explains the boundaries around data, models, human review, evidence, audit trails, policy controls and professional responsibility.
Reviewable AI boundaries
Review status documented
Data boundary
Model boundary
Human boundary
Evidence boundary
Audit boundary
Policy boundary
The preview shows where data, model access, evidence, people, audit and policy controls meet before rollout.
Evaluate how Forlex frames data, model access, human review, evidence, auditability and policy controls.
Data boundary
What data enters Forlex, where it is processed, how long it is retained and which controls apply.
Model boundary
Which AI paths are used, how provider access is controlled and how training-related statements are evidenced.
Human boundary
Where people review, approve, override, escalate or reject AI-assisted work.
Evidence boundary
When outputs are source-grounded, when they are not and how citations or uncertainty are displayed.
Audit boundary
What is logged for administrators, reviewers and later compliance inspection.
Policy boundary
How teams configure permitted agents, workflows, retention and permissions.
The infrastructure behind these controls is described publicly by AWS.
AWS published a case study on Forlex. The points below come from that material rather than from our own description; the link opens the source.
Dedicated compute
AI workloads run on Amazon EC2 P6-B200 Instances accelerated by NVIDIA Blackwell GPUs.
Managed orchestration
Amazon EKS handles server configuration and scaling as demand moves.
Managed-key encryption
AWS Key Management Service (KMS) provides encryption in the deployment the case study describes.
Frequently asked questions
No. Forlex prepares work for accountable humans to review, approve, route or reject, especially in legal and regulated workflows.
Trust comes from visible sources, clear limitations, review responsibility, permission boundaries and auditability around each workflow.
Forlex helps teams define permitted workflows, retention expectations, role access, human review points and escalation paths before expanding AI use.
