Document deluge
A modest commercial dispute easily produces 500–5,000 documents in disclosure. The junior team spends 40–100 hours triaging what is relevant before strategy can begin.
Five agents pre-built for the daily realities of boutique law firms and in-house counsel, case-file summarization, contract review, legal research, client communication, and billing. Customized to your practice in 5 days, deployed in 30, fixed at €9,500. GDPR-compliant, privilege-preserving by design.
AI agents in 2026 reliably handle five high-leverage legal workflows: case-file summarization (turning thousand-page case bundles into structured briefs), contract review (clause-by-clause comparison against templates and playbooks), legal research (precedent search with citation tracking), client communication (status updates, document requests, billing inquiries), and billing tracker (time capture, narrative drafting, invoice preparation). Boutique firms typically reclaim 15 to 30 hours per fee earner per month, redirecting that time to billable advisory and rainmaking work. Law firms using AI close routine work 30 to 50 percent faster than firms doing it manually.
theagency47 · Updated May 2026A modest commercial dispute easily produces 500–5,000 documents in disclosure. The junior team spends 40–100 hours triaging what is relevant before strategy can begin.
Each contract review touches 10–30 clauses against firm playbooks. Done well, it takes 90 minutes. Done quickly, it misses risks. Done at volume, it crushes margins.
Industry studies estimate 15–25% of billable hours never make it onto an invoice because narratives are written days late and partners under-claim.
Each pre-architected for legal work, customized to your firm's practice areas, software stack, and house style during the 5-day discovery phase.
Reads case bundles (PDFs, emails, transcripts), produces structured briefs, facts, parties, timeline, key issues, exhibit map, open questions. Drafts an opening memorandum the partner can refine in 30 minutes instead of writing from scratch.
Compares incoming contracts against your firm's playbooks. Flags deviations, suggests fallback language from your precedent library, drafts negotiation comments. Associates review the flags rather than the whole document.
Researches points of law across approved sources (firm KB, Westlaw, LexisNexis via approved APIs), produces structured memos with full citations, flags contradictory authority, and tracks recency of holdings.
Drafts status updates, document requests, and billing inquiry responses in your firm's voice. Partners review and send in 5 minutes instead of writing from scratch in 30.
Watches calendar entries, document edits, and email activity to draft time entries with proper billing narratives, then sends them to the fee earner for one-click approval. Closes the 15–25% time-capture leak.
A coordination layer ensures privilege markers propagate across agents, audit trails are kept for every action, and sensitive identifiers are tokenized before reaching the model on higher-risk flows.
| Item | Estimate |
|---|---|
| Pack cost (one-off) | €9,500 |
| Monthly Claude API + tooling | €800–€1,800 |
| Hours reclaimed per fee earner | 15–30 / month |
| Total hours reclaimed (10 earners) | 150–300 / month |
| Blended billable rate (assumption) | €180/hour |
| Monthly billable-equivalent value | €27,000–€54,000 |
| Time-capture leak closure (5–10% revenue) | +€8K–€20K/month |
| Break-even on pack cost | Inside Month 1 |
| Net Year-1 ROI | ~25× to 50× |
Numbers above are illustrative for a typical 10-fee-earner boutique. Your mileage varies with practice area, billing rate, and matter mix. Legal-vertical ROI is consistently higher than accounting or e-commerce because billable rates compound the reclaimed time.
All agent calls to Anthropic Claude run with zero-data-retention configuration. Inputs and outputs not retained beyond 7-day API operational logs, never used for model training.
Each matter has its own knowledge base partition. Information does not leak across matters. Conflict-of-interest checks are integrated into the agent access layer.
All agent-drafted output carries the firm's standard privilege markers automatically. Audit trail logs every agent action with timestamp, input hash, and reasoning.
For higher-risk workflows, identifiers (names, NIs, account numbers) are tokenized before reaching the model and restored only in firm-controlled output.
DPA executed before any client data touches an agent. Data residency configurable. SCCs in place for any non-EU sub-processor. We are EU-based.
Designed to fit common bar guidance on supervised use of AI in law practice. Human-in-the-loop preserved on all client-facing outputs. Source documentation available for ethics review.
Five high-leverage workflows: case-file summarization, contract review, legal research, client communication, billing/time capture. Boutique firms reclaim 15–30 hours per fee earner per month.
Legal vertical pack: €9,500 fixed for the 5-agent build. Monthly running cost €800–€1,800. ROI typically breaks even inside month 1 because billable rates compound reclaimed hours.
Yes, through zero-retention API config, per-matter knowledge-base isolation, privilege markers on drafts, tokenization on sensitive flows, full audit trail, and a tailored DPA. Designed to fit bar-association guidance on supervised AI use.
No. AI absorbs the document-review-at-scale and template work that has the lowest margin. Junior roles shift toward AI output verification, exception handling, and direct client work. Adoption frees capacity for higher-value advisory.
Clio, MyCase, PracticePanther, Smokeball, Filevine, Litify, NetDocuments, iManage, HighQ, Lex Machina, Westlaw and LexisNexis (where approved APIs exist), Google Workspace, Microsoft 365, DocuSign.
Commercial / corporate, employment, litigation (document-heavy), real estate, IP. Less proven for criminal defense and family law where eval-friendly bounded outputs are harder to construct.
Yes. If you need only 3 of the 5 agents, we quote a custom Workforce Starter at €7,500. Heavy compliance scoping suggests Enterprise instead.