Claims in minutes: a template the lawyer still signs

Debtor claims are a strong automation candidate because volume is high, structure repeats, and source facts usually live in accounting and contract systems. The dangerous shortcut is asking a model to “write a claim” from an unverified summary. The dependable workflow fills an approved template from cited records, marks gaps, and gives counsel a file to sign.

Assemble seven required elements

The role should prepare: correct sender and recipient details; the agreement and obligation; invoice, delivery, or acceptance evidence; the amount and calculation date; the breach and relevant chronology; the contractual or legal basis selected by counsel; the demanded remedy and deadline. It should also build an attachment list, although that list is evidence supporting the seven core elements rather than a substitute for them.

Each value needs provenance. Counterparty details point to the master record, amounts to accounting entries, dates to signed documents, and interest or penalties to a visible calculation. Placeholders remain visibly unresolved when data is missing. The role must never silently guess a bank detail, delivery date, or legal basis.

Generate a file, not a send action

Use controlled templates by agreement and claim type. The agent creates a versioned draft, a calculation sheet, and a source checklist in the matter sandbox. It can flag conflicts—for example, when 1C shows payment but the claim queue does not—or route the case for reconciliation. It can also detect duplicates using agreement, invoice, amount, and claim period.

A lawyer reviews limitation periods, evidence sufficiency, calculation, remedy, tone, jurisdiction, and delivery method. Legal drafts are files; a lawyer sends. Email, electronic document exchange, postal submission, and status writes all default to Ask.

Pilot the repetitive queue

Start with one standardized debtor segment and historical cases whose outcomes are known. Measure minutes from complete packet to draft, missing-data rate, calculation corrections, duplicate prevention, and lawyer acceptance. Exclude disputed performance, insolvency, unusual security, and complex multiparty matters until the role has explicit procedures.

This legal workflow is valuable because it removes assembly work while making evidence easier to inspect. “In minutes” describes draft preparation after complete inputs—not legal resolution, delivery, or recovery.

Run it as a role, not a prompt

The durable implementation is a role inside the company operating system. Its instructions, checklists, examples, and connector definitions live in git, so every change has an author, review, and rollback path. Each run gets a sandbox and an auditable record. The team can use the best model for each step instead of tying the workflow to one vendor. Models can change; the role, tests, permissions, and history remain.

Connections are brokered server-side. CRM, document, mail, and accounting credentials never sit in a prompt or a browser extension. Read access is scoped to the records needed for the task. Writes default to Ask: the agent prepares the proposed update, message, or file, then an accountable person approves it. Self-hosting is available when policy, residency, or network boundaries require it.

Make the first pilot measurable

Choose one queue with enough volume to observe within two weeks. Record the current cycle time, rework rate, backlog, and escalation rate before the first run. Test historical cases, including awkward and incomplete ones, before touching live work. During the pilot, compare accepted outputs, corrected outputs, false escalations, and time returned to the team. A useful role becomes more reliable because corrections are committed back to its skill and evaluation set.

Keep the boundary explicit. The agent can collect evidence, apply a checklist, draft, route, and update systems after approval. A named employee owns exceptions and consequences. That division is what turns model capability into dependable operations without pretending that probability is judgment.

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