Legal & ComplianceManaged AI Agents
Legal & Compliance AI Agents,
Monitored for Accuracy
Nestack Agent Care helps legal and compliance teams monitor, evaluate, and optimize AI agents used for contract review, research, policy drafting, and compliance checks — before small AI errors become inaccurate or privileged-data issues.
Scope
Legal & Compliance AI agents we build & manage
Matters & research3
- Legal-research
- Matter-intake
- Deadline & docket
Contracts & IP3
- Contract-review
- IP-docketing & annuity
- CLM obligation & entity
Compliance & risk4
- Compliance-monitoring
- KYC / sanctions-screening
- Ethics-hotline triage
- Law-enforcement-request intake
Observability
What we make observable
Every legal agent session is traced across ten layers — what we capture and the evidence we keep.
- Evidence we keepGoalconstraintsapproval requirement
- Evidence we keepSourceversiontimestamprelevancecitation
- Evidence we keepPlanned sequenceactual sequenceworkflow status
- Evidence we keepTask statusresultretryfailure reason
- Evidence we keepTool nameversioninputoutputpermissionresult
- Evidence we keepModel/versioninput/outputtoken usagelatencycost
- Evidence we keepEvaluation typemetricthresholdresult
- Evidence we keepGuardrail targettriggeractionenforcement result
- Evidence we keepReviewerdecisioncorrectionreason
- Evidence we keepOutcome statusbusiness resultlinked trace
Catalog
Failure modes
Filter failure modes by where they occur in the agent lifecycle—from goals and retrieval to tools, evaluations, guardrails and outcomes.
Core catalog
LGL-01Hallucinated case law, statutes or citationsSEV-1
LGL-02Privilege breaches — privileged content outside the circleSEV-1
LGL-03Advice-boundary crossing — output reads as legal advice to non-clientsSEV-1
LGL-04Contract-clause errors — missed obligations, wrong interpretationsSEV-1
LGL-05Deadline miscalculation — limitation periods, filing datesSEV-1
LGL-06Conflict-of-interest screening missesSEV-2
LGL-07Stale law — superseded statutes or overruled precedent citedSEV-2
LGL-08Injection via opposing-party documents and discoverySEV-1
LGL-09Discovery-review misclassification — responsive documents missed, privileged documents producedSEV-1
LGL-10Jurisdiction confusion — wrong state, federal or foreign law appliedSEV-2
LGL-11Matter cross-contamination — one matter’s facts or strategy in another’s draftsSEV-1
LGL-12Redaction failures — confidential terms survive in filings and exportsSEV-1
LGL-13Negotiation-position leakage — internal fallbacks, comments or tracked changes in counterparty versionsSEV-2
LGL-14Litigation-hold breaches — held documents altered, deleted or auto-filedSEV-1
Screening & regulatory compliance
LGL-15Screening-scope truncation — agent silently checks only part of the sanctions listSEV-1
LGL-16Screening false-negative decay — model drift and recall-sacrificing tuningSEV-1
LGL-17Alert-flood collapse — mass auto-closure of surveillance alerts without investigationSEV-1
LGL-18Non-reconstructable decisions — no audit trail behind agent adjudicationsSEV-2
LGL-19Policy-propagation gap — rule changes never reach every agent in the fleetSEV-2
Data governance & confidentiality
LGL-20Autonomous destructive deletion — agent wipes records or backups outside any holdSEV-1
LGL-21AI-record retention bypass — vendor auto-purge deletes business records; agent artifacts escape the scheduleSEV-2
LGL-22Vendor-side discovery exposure — your prompts become evidence in the vendor's lawsuitSEV-1
LGL-23Confidential data into model training — including silent vendor terms flipsSEV-1
LGL-24Cross-border transfer and residency violations — agent routes EU data to non-compliant endpointsSEV-2
LGL-25RAG oversharing — agent surfaces documents beyond appropriate entitlementsSEV-2
LGL-26Secrets and PII in agent logs, configs and outputsSEV-2
Legal operations workflows
LGL-27Fraudulent EDR / fake subpoena acceptance — forged law-enforcement requests fulfilledSEV-1
LGL-28Whistleblower de-anonymization — AI correlates hotline reports against policy-query logsSEV-1
LGL-29Ethics-hotline triage burial — serious reports misclassified as low-priority noiseSEV-2
LGL-30Unauthorized contract execution — agent binds the company via apparent authoritySEV-1
LGL-31IP docketing/annuity pipeline failure — silent lapse to abandonmentSEV-1
LGL-32Machine-translation divergence in multilingual contractsSEV-2
LGL-33Post-signature obligation extraction failure — auto-renewal lock-in, missed notice windowsSEV-2
LGL-34Entity-management filing failure — administrative dissolution of subsidiariesSEV-2
LGL-35Legal front-door misrouting — intake chatbot self-serves matters that needed counselSEV-3
LGL-36E-billing review errors — false flags sour firm relations; auto-approval leaks spendSEV-3
Work-product & evidence integrity
LGL-37Misgrounding — fabricated quotes or wrong support inside REAL authoritiesSEV-1
LGL-38Sycophantic false-premise validation — agent confirms the lawyer's wrong assumptionSEV-1
LGL-39AI contamination of sworn and expert declarationsSEV-1
LGL-40Deepfake or synthetic evidence accepted at intakeSEV-1
LGL-41Failure to detect OTHERS' AI fabrications — opposing counsel and the court itselfSEV-2
LGL-42AI-verifying-AI — delegated verification collapseSEV-1
LGL-43Factual-perturbation brittleness — same conclusion despite changed dispositive factsSEV-2
Platform, QA & governance
LGL-44Silent vendor model updates — set-and-forget supervisory AI degrades unnoticedSEV-2
LGL-45Output nondeterminism — Monday's determination can't be reproduced ThursdaySEV-2
LGL-46Memory poisoning — planted content fires weeks later from persistent agent memorySEV-1
LGL-47Cascading error propagation in multi-agent chainsSEV-1
LGL-48QA false assurance — all-pass gap and unvalidated LLM-as-judgeSEV-2
LGL-49AI-certification and standing-order noncompliance — accurate filing, wrong paperworkSEV-2
LGL-50AI-washing — overstated AI capabilities in filings and marketingSEV-2
LGL-51Vendor agent-washing — rules engine sold as adaptive AI, oversight relaxedSEV-3
LGL-52Absent AI governance as a chargeable compliance defectSEV-2
LGL-53Professional-liability insurance gap for AI errorsSEV-2
LGL-54Automation complacency — the human review layer quietly stops reviewingSEV-2
Guardrails
Critical guardrails for Legal agents
Ten controls that hold regardless of prompt, plan or pressure. Open one to see what it protects, what trips it, what the agent is forced to do, who may release it, and what is written to the record.
GR-01No court filing without human-verified citationsOverride defined
Target
Draft briefs, motions and filings referencing cases, statutes or quoted authority
Trigger
Any citation, quotation or authority lacking a verified match in the citator record
Action — enforced
Platform blocks filing export; agent may assemble a citation-check worksheet for attorney verification of every authority
Human override
Filing attorney of record releases via citator attestation in the docketing system
Logged evidencecitation list · citator result per authority · verifying attorney identity · attestation timestamp · document hash
GR-02No cross-matter retrieval across engagement boundariesNo override
Target
Matter workspaces, document stores and drafting memory across all client engagements
Trigger
Any retrieval, citation or draft reuse referencing a matter outside the active engagement scope
Action — enforced
Platform denies the query at the index layer; agent proceeds only on the active matter’s own corpus
Human override
None — cannot be overridden in session
Logged evidencematter ids · denied query text · index scope version · requesting agent identity · timestamp
GR-03No instruction embedded in opposing-party or discovery documents ever executedNo override
Target
Inbound discovery productions, opposing-counsel correspondence, exhibits and third-party subpoena attachments
Trigger
Imperative or tool-directed language detected inside any externally sourced document under review
Action — enforced
Platform strips and quarantines the instruction; agent treats content as inert evidence text only, never as commands
Human override
None — cannot be overridden in session
Logged evidencesource document hash · quarantined instruction text · detection rule id · reviewing matter id · timestamp
GR-04No privileged material sent to unapproved AI endpointsOverride defined
Target
Privileged memoranda, counsel communications and work product across all model and vendor endpoints
Trigger
Any outbound call carrying privilege-tagged content to an endpoint absent from the approved register
Action — enforced
Platform blocks the transfer as a privilege-waiver risk; courts have held AI-processed documents can lose attorney-client privilege
Human override
General Counsel releases per endpoint via the approved-vendor register after privilege review
Logged evidenceendpoint domain · privilege tag · blocked payload hash · approved-register version · GC release id · timestamp
GR-05No court deadline from unverified date arithmeticOverride defined
Target
Limitation periods, filing dates, patent annuities and entity-filing deadlines across all dockets
Trigger
Any computed deadline lacking a second calculation against the court-rules calendar service
Action — enforced
Platform holds calendar writes; agent must reconcile both computations and route variances to the docketing clerk
Human override
Docketing supervisor confirms via dual-calculation record in the docketing system
Logged evidencematter id · both computed dates · rule-set version · reconciler identity · confirmation timestamp
GR-06No drafting from a stale law corpus past validation dateOverride defined
Target
Statute, regulation and precedent corpora feeding research and drafting agents
Trigger
Corpus snapshot older than its validation date or flagged superseded by the citator feed
Action — enforced
Platform refuses draft generation from the stale snapshot; agent may cite only revalidated authorities
Human override
Knowledge-management counsel extends validity via corpus recertification workflow
Logged evidencecorpus version · validation date · superseded-authority list · recertifier identity · timestamp
GR-07No deletion of records under litigation holdOverride defined
Target
Documents, mailboxes, backups and agent artifacts subject to any active preservation notice
Trigger
Any delete, purge, auto-file or retention job touching a hold-flagged custodian or record
Action — enforced
Platform hard-stops the operation and freezes the retention job; agent may only report the collision
Human override
Litigation-hold administrator releases per record after hold-scope review, logged in the hold register
Logged evidencehold id · record ids · blocked operation · requesting agent · administrator decision · timestamp
GR-08No contract execution or signature by agentsOverride defined
Target
Signature platforms, contract repositories and counterparty-facing negotiation channels for all entities
Trigger
Any agent action that would sign, accept, countersign or otherwise bind the company
Action — enforced
Platform blocks the execution call; agent may prepare an execution packet for an authorised signatory only
Human override
Authorised signatory executes personally under the delegation-of-authority matrix
Logged evidencecontract id · blocked action · delegation-matrix version · signatory identity · timestamp
GR-09No discovery production without a second-pass privilege screenOverride defined
Target
Outbound production sets, filing exports and redacted documents leaving the review platform
Trigger
Production batch containing any document without a completed privilege and redaction re-check
Action — enforced
Platform splits the batch and holds unscreened documents; agent releases only fully screened, redaction-verified items
Human override
Supervising discovery counsel releases per batch via review-platform quality gate
Logged evidencebatch id · per-document screen status · redaction diff · releasing counsel · production timestamp
GR-10No screening verdict from a truncated sanctions listOverride defined
Target
Sanctions, denied-party and adverse-media screening pipelines and their list sources
Trigger
List coverage, recall metric or alert-disposition rate falling below the calibrated baseline
Action — enforced
Platform voids affected verdicts and reopens auto-closed alerts; agent reruns screening on the full list
Human override
Sanctions-compliance officer certifies coverage via list-completeness attestation
Logged evidencelist versions · coverage metric · reopened alert ids · rerun result · certifying officer · timestamp
Oversight
Human review — triggers, decisions and evidence
When a defined risk trigger fires, the affected action is routed to a named reviewer. Every decision is recorded with its correction, escalation and final outcome for full traceability.
- ConfidenceLow-confidence citation check
- Financial impactSpend or e-billing approval
- Identity / change riskConflict or privilege check
- Irreversible actionFiling, execution or deletion
- Policy riskAdvice-boundary conflict
- Safety controlGuardrail override
- Quality failureFailed critical evaluation
- Revieweridentity + role
- Decisionapprove / reject / amend
- Correctionwhat changed
- Escalationwho, why and severity
- Final outcomereleased / blocked / returned for rework
7 triggers · any one halts the agent
1 record · 5 fields, every time
Compliance
Regulatory mapping
- 01 Goal
- 02 Retrieval
- 03 Workflow
- 05 Tool
- 06 LLM
- 07 Evaluation
- 08 Guardrail
- 09 Human review
- 10 Outcome
Professional duty
Hallucinated authorities have produced real sanctions; verification is non-negotiable — and non-delegable to another AI. Courts now expect you to catch the other side's fabrications too.
Lifecycle layer:02 Retrieval · 03 Workflow · 06 LLM · 07 Evaluation · 09 Human review
- LGL-01
- LGL-42
- LGL-41
Evaluations
Baseline evaluation suite — in detail
Baseline evaluations are completed during onboarding and repeated based on the selected plan. Agents that fail critical checks remain restricted until they pass re-testing.
- Detailed case sets
- 38
- Failure modes covered
- 54
- Retired & rotated / quarter
- 10%
- Audit-ready scorecard
- Monthly
Output evaluation1 suite · 100 cases
100 casesCitation integritycatches LGL-01
100 casesClause accuracycatches LGL-04
60 casesPrivilege controlcatches LGL-02
60 casesDeadline calculationcatches LGL-05
60 casesConflict screeningcatches LGL-06
60 patternsExternal-doc injectioncatches LGL-08
100 casesDiscovery-tagging setcatches LGL-09
60 casesJurisdiction routingcatches LGL-10
60 casesMatter-isolation probescatches LGL-11
60 casesRedaction integritycatches LGL-12
40 casesClean-draft gatecatches LGL-13
40 casesHold-compliance setcatches LGL-14
50 casesAdvice-boundary probescatches LGL-03
60 casesCurrency-of-law setcatches LGL-07
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Department lead review
For applicable high-risk agents, the client’s designated department leader reviews the evaluation criteria and pass thresholds before baseline approval.
Test-case rotation
Evaluation cases are refreshed regularly to reduce memorisation and maintain reliable performance measurement.
Scorecard integration
Scorecards track results against the approved baseline and flag material declines for review and escalation.
Department-specific extensions
Where included in scope, evaluations may be expanded using approved workflows, tools, templates, policies, and incident history.
Monitoring
Change-aware monitoring
When agent performance changes, Nestack correlates the shift with changes to the agent, prompt, model, tools, knowledge base, guardrails and evaluation suite.
- Week 1 · 98.1%
- Week 2 · 98.0%
- Week 3 · 98.2%
- Week 4 · 98.1%
- Week 5 · 98.3%
- Week 6 · 98.1%
- Week 7 · 98.2%
- Week 8 · 93.1%
- Week 9 · 92.9%
- Week 10 · 98.1%
- Week 11 · 98.2%
- Week 12 · 98.3%
Week readouthover or select
Week 8of 12
- 05Knowledge-basekb 2026.07
93.1%Authority-currency rate
- 7 layers stamped on every run · 12-week window
- Catches LGL-07 · stale law and superseded precedent
Something missing?
Don’t see your agent’s issue here?
Every AI environment is different. Share what you’re seeing, and we’ll review the behaviour, assess the risk and recommend the evaluations or controls that may help.
No commitment. Even if you never become a client, we’ll tell you what we think is happening.
Process
Universal incident runbook
Severity is assigned based on business impact, customer harm, data exposure, operational disruption and overall scope.
- SEV-1 Critical
- SEV-2 Major
- SEV-3 Moderate
- SEV-4 Minor
Automated monitoring or human review identifies unusual behaviour. Alerts are recorded and routed according to severity.
Cost control
Keep legal & compliance AI agent costs under control
Token spend is monitored, optimised and reported as part of Agent Care — and savings never come at the expense of quality, because every change is verified against your evaluation baseline.
We review token spend by agent, workflow, model, and session so you can understand where AI costs are coming from.
Running legal & compliance AI agents in production?
Get a free assessment of one agent. We’ll review its behaviour, run a baseline evaluation and highlight potential risks and performance gaps.
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