Use case
First-pass contract review that respects your playbook
Legal and commercial teams lose days re-reading standard NDAs, MSAs, and vendor paper for the same fallback positions. Arcloops designs AI-assisted review against your clause playbook so counsel spends time on judgment — not on hunting for liability caps.
The problem: every contract starts from zero
Inbound vendor paper and customer paper arrive as Word and PDF with inconsistent drafting. Junior reviewers miss non-standard indemnities. Senior counsel re-checks the same clauses because trust in the first pass is low. Turnaround SLAs slip while deals wait, and business sponsors escalate.
Playbooks exist as PDFs nobody updates. Preferred positions, fallbacks, and walk-aways live in email lore. When a clause is accepted as exception, the exception is not logged for the next negotiation. Portfolio risk — how many contracts carry unlimited liability — is invisible.
Volume makes the old model brittle. More SaaS renewals, more channel partners, more cross-border templates, and more regulatory addenda. Outside counsel spend rises for work that is pattern-matching, not novel law. Internal legal becomes a bottleneck branded as “careful.”
Legal owns playbook and advice; commercial owns deal terms; procurement owns vendor paper intake; security and privacy own specific schedules. Anti-patterns include letting the model “approve” contracts, grounding on random internet templates, and measuring success only by minutes saved while missing material deviations.
Portfolio visibility matters as much as speed. Without structured deviation logs, legal cannot answer how often unlimited liability was accepted or which business units drive the most playbook exceptions. That opacity turns every renewal into rediscovery and leaves boards guessing about residual contract risk.
AI contract review should extract clauses, compare to your positions, flag deviations with citations into the document, and hand structured issues into negotiation or Approvals — while final legal judgment stays human. When playbooks and evaluation sets are mature, programmes expand matter types carefully — never by dumping every agreement type into one model overnight.
AI approach
Encode your clause playbook as review rules
Preferred, fallback, and prohibited positions become structured checks. Matter types (NDA, MSA, DPA, order form) select the right rule set. Ambiguous areas are marked for counsel, not silently guessed.
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Extract clauses and flag deviations with evidence
Models locate liability, IP, termination, data protection, and payment terms, then highlight where the draft diverges from playbook — with pointers into the source text. What good looks like: a first-pass memo of issues in minutes, ready for human triage.
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Support negotiation and version comparison
Redlines and counterparty responses are compared across versions so reviewers see what changed, not just a new full read. Suggested fallback language comes from your approved library, not invented prose.
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Route exceptions and capture accepted risk
Material deviations require named acceptance through Approvals or legal workflow. Accepted exceptions feed playbook improvement. Failure modes: treating AI summaries as legal advice, and skipping human review on high-value or regulated agreements.
How Arcloops delivers this
Contract review sits under /solutions/ai-in-legal-compliance. Exception acceptance and multi-step legal/commercial sign-off connect to Approvals at /products/approvals. Policy and governance framing for how AI may be used in legal workflows maps to /ai-consulting/ai-policy-development when leadership wants explicit guardrails.
Delivery starts with playbook readiness, a corpus of real agreements (happy path and ugly path), and clear matter-type scope — then a pilot on NDAs or standard vendor MSAs before expanding. Integration notes cover CLM or document repositories, identity, and audit logs of who accepted which deviation. Outside counsel can remain in the loop for novel issues; the AI does not replace them.
Related offerings
Related pages & industry combinations
FAQ
No. The system is decision support against your playbook. Qualified counsel remains responsible for advice and for accepting residual risk on material deviations.
Scope is defined per engagement. Many programmes start with English commercial contracts for defined matter types; additional languages and jurisdictions are added when playbooks and evaluation sets are ready.
Not always. You can pilot on a controlled repository and intake path. CLM integration is valuable for scale and is scoped against your landscape.
Review is grounded in the uploaded agreement and your playbook library. Suggested language comes from approved fallbacks. Low-confidence extractions clauses route to human review rather than silent invention.
Stress-test AI on your real contracts
Bring a playbook excerpt and a mixed batch of NDAs or MSAs. Arcloops will show deviation flagging and Approvals handoff under AI in Legal & Compliance.