Legal
Document review, research support, summarization and classification.
Confidentiality, privilege, matter boundaries and approved data handling remain central.
Forge applies the same core intelligence and optimization discipline across industries, while security, data-handling, approval and workflow requirements may differ.
Industry context changes the policy envelope around the same underlying operating model. The question is not only what the workload does, but what data, approvals and audit requirements travel with it.
Examples help frame diligence without implying automatic eligibility. Each sector carries different data, approval and evidence expectations, so industry context is treated as a policy consideration rather than a shortcut to qualification.
Document review, research support, summarization and classification.
Confidentiality, privilege, matter boundaries and approved data handling remain central.
Document-heavy review, extraction, classification and analysis.
Engagement-specific restrictions and evidence requirements may materially affect qualification.
High AI volumes and multi-provider environments.
Sensitive data, retention, residency and regulatory requirements remain part of diligence.
Support, development assistance and internal knowledge workflows.
Access boundaries, source context and tool permissions may require workload-specific controls.
Potentially relevant non-PHI and qualified workflows.
PHI-bearing inference is not standard-fit and requires separate technical/legal review.
Recurring text, document and structured inference.
Eligibility depends on measurable baseline economics and definable accepted outcomes.
Data handling, approval authority and evidence requirements can change by sector while the core Forge operating model remains consistent.
Industry and customer rules shape what Forge may access.
Labels, residency, retention and protected-content constraints can be applied without creating separate product codebases.
Different industries require different owners and sign-offs.
Policy profiles can define who may approve data use, workflow activation and knowledge promotion.
The same Proof principle can require different supporting records.
Audit depth, retention and report expectations can change by industry and customer policy.
Start with a high-level qualification conversation. No sensitive or confidential information is required.