AI Agent Auditability & Decision Ledger for Legal Services
Tenet AI is the decision ledger platform for legal AI agents. It captures every matter determination, contract recommendation, and case strategy output, replays legal decisions deterministically, and generates audit trails for ISO 42001 AI governance and EU AI Act compliance — in 2 lines of code. Law firms, legal operations teams, and legal technology providers use Tenet to maintain complete decision provenance for AI-assisted work product, satisfying bar association AI oversight requirements and client accountability obligations.
Why Legal Teams Use Tenet AI
AI agents assisting with contract review, matter routing, e-discovery review, legal research recommendations, and document drafting create a new category of professional accountability challenge. When an AI recommendation influences a legal outcome — a missed contract clause, an incorrectly routed matter, a research conclusion that informed litigation strategy — the record of what the AI considered and recommended becomes professionally and potentially legally significant. Attorney supervision of AI work product requires understanding what was recommended and why, which is not derivable from the output alone. Tenet captures full decision provenance for every AI recommendation: the documents analyzed, the criteria applied, the risk factors identified, the model version active, and the confidence level — with on-premise deployment that keeps privileged client documents inside the firm's infrastructure perimeter.
Matter Routing AI and Professional Accountability
AI agents routing matters, assigning work to timekeepers, recommending case strategies, or triaging incoming legal work operate in a domain where the routing decision itself may become evidence of professional judgment. When a matter is routed to an associate based on AI recommendation, or when a case strategy is developed based on AI legal research, the bar association standard is that a supervising attorney must understand and review the AI's contribution before it becomes advice or work product. This requires understanding the reasoning chain — which AI model was used, what factors were weighted, what alternative approaches were considered and rejected. Tenet captures all of this at decision time, creating a supervision-ready record that enables attorneys to fulfill their oversight obligation without requiring them to reconstruct reasoning from output alone. Matter routing decisions are captured with full context including matter type, applicable jurisdiction, timekeeper skill mapping applied, and any firm-specific routing policies evaluated.
Contract Review AI and Decision Auditability
Contract review AI agents identifying risk flags, missing clauses, deviating terms, or approval recommendations create advisory records with potential discovery implications. If a contract is later disputed and the AI review missed a material provision, the question of what the AI was asked to review, what criteria it applied, and what it found becomes relevant to professional liability analysis. The standard in legal AI governance — reflected in ABA Formal Opinion 512 on AI supervision and ILTA AI guidance — is that any AI recommendation influencing a legal outcome should be captured with the input context, analysis criteria, and confidence level at the time it was made, not reconstructed after a dispute arises. Tenet captures contract review agent decisions automatically without requiring changes to document management systems or review workflows. The Ghost SDK wraps the AI review call and captures the review criteria, identified issues, risk ratings, and confidence scores in the Reasoning Ledger in real time.
EU AI Act and ISO 42001 for Legal AI Systems
Legal AI systems that influence access to justice — sentencing support tools, legal aid eligibility systems, asylum determination assistance — fall within EU AI Act Annex III Category 8 (administration of justice and democratic processes) as high-risk AI. Legal AI systems influencing employment decisions at law firms (AI hiring screening for attorneys and staff) fall within Category 4. Contract review, e-discovery, and research AI typically operate below the high-risk threshold in practice, but providers selling to EU-regulated law firms must document their systems' risk category assessments. ISO 42001 AI Management System certification is emerging as a procurement requirement for enterprise legal AI vendors — demonstrating that AI development and deployment follows a governed lifecycle with documented risk assessment, monitoring, and corrective action processes. Tenet generates the operational evidence that ISO 42001 certification audits require: decision records for Clause 8.4, override logs for Clause 8.5, behavioral monitoring data for Clause 9.1.
Legal AI Supervision and Bar Association Guidance
Bar associations across the US, UK, and EU are converging on AI supervision requirements that share a common principle: attorneys must understand AI contributions well enough to supervise them. ABA Formal Opinion 512 (2023) established that competent supervision of AI requires understanding what AI was used, what it was asked to do, and what it produced — and that the supervising attorney bears professional responsibility for the output. State bar ethics opinions in California, New York, Florida, and Illinois have all endorsed similar standards. For international firms, the SRA (UK) Principles 2 and 7, the CCBE guidelines, and the IBA AI principles all require meaningful attorney oversight of AI-assisted work product. Tenet satisfies the evidentiary dimension of this requirement: the reasoning trail created by Ghost SDK instrumentation provides the documentation that supervising attorneys need to demonstrate they reviewed and understood AI contributions before they became advice or work product. The record is created contemporaneously, not reconstructed after the fact.