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Corporate law firm · Madrid · 40 lawyers
Automated M&A contract review
800 contracts/month reviewed with AI agent + iManage integration. Junior freed 380 h/month redirected to due diligence and strategy.
−73 % time per contract
Less repetitive review. More partner time on what matters.
We apply AI in Spanish law firms to automate document review, clause extraction, due diligence and case triage. Without pulling data out of your infrastructure and with human validation at every step.
NDAs, service agreements, data room clauses. Repetitive work that consumes expensive hours and demotivates the front line.
In corporate and M&A, premium clients go where response is fastest. Speed is a business differentiator, not just operational.
Data rooms with thousands of documents. Searching clauses, obligations and risks is still ctrl+F by hand.
Each new practice area requires more junior staff. Growth ceiling is hiring capacity, not demand.
Not a list of technologies. Concrete processes where AI delivers measurable euros or hours from the first month.
Extraction of key clauses, flagging deviations from internal playbook and alternative wording suggestions. Human validation in one click.
Mass analysis of data rooms: identifies obligations, risks, contractual precedents and atypical clauses. Structured report in hours, not weeks.
Automatic classification of incoming files by type, urgency, responsible partner and estimated complexity.
The team queries internal case law, prior opinions and templates in natural language. Response cites source document.
First drafts of briefs, pleadings and complaints from the case file. Lawyer signs; AI reduces blank-page time.
New client onboarding, engagement generation, invoicing, deadline alerts. Less admin, more advisory.
Read, flag and suggest on contracts, deeds and case files.
Info → 02Workload dashboards, forecasts, KPIs per partner and matter.
Info → 03Protection of privileged information, professional secrecy and sensitive files.
Info → 04Triage of incoming queries, qualification and escalation to the right lawyer.
Info →Invented cases with metrics consistent with our real ranges, until a client authorises publishing their own.
800 contracts/month reviewed with AI agent + iManage integration. Junior freed 380 h/month redirected to due diligence and strategy.
Processing of tax authority resolutions, Supreme Court rulings and binding queries. Internal semantic search with source citation.
Detection of discrepancies between draft and signed deed. Alert on atypical clauses for notary review.
Our pilots incorporate from design the regulatory requirements that apply to the law firms sector in Spain:
We sign NDA and processing agreement before touching any data. For firms with privileged information we deploy AI agents in your infrastructure (Azure Private, AWS Bedrock private or on-premise installation), so data never leaves your perimeter.
Model prompts are pseudonymised before leaving your network when applicable. Conversation logs remain audited by your team, not ours. The architecture complies with GDPR and professional secrecy obligations.
This architecture raises the pilot cost 20-40% vs the standard SaaS version, but it's the only way to work with real case files without exposing the firm to regulatory or disciplinary risk.
No. The agent reads, flags deviations from the playbook and suggests alternative wording. The signature remains human. In practice the lawyer moves from 45 min per contract to supervising 12 min of the agent's output, with capacity to accept the suggestion or flag an exception.
Each exception feeds the playbook for the next iteration. Over time the agent handles more automatically and the human only intervenes on the truly atypical.
Multi-jurisdiction contracts, very high-value ones, or those with special regulatory risks are still reviewed 100% manually because it doesn't pay to automate the long tail.
A first pilot goes into production in 6-8 weeks. Scope: one contract type or a specific flow (NDA review, data room DD, deed comparison). Fixed price in the €15-30k range depending on integration complexity and security requirements.
The initial diagnosis is free: in 30 minutes we identify the 2-3 processes with the best saving/risk ratio for your firm. No commitment.
If the pilot doesn't meet ROI at week 8, it's adjusted or turned off. No eternal maintenance master contract.
It fits especially well in medium firms (10-40 professionals). They benefit most because they have enough volume to justify the investment, premium clients demanding speed, and expensive teams wanting to spend time on advisory rather than first-line review.
In small firms (<10 people), ROI appears if there's a contract type with high volume (startup NDAs, SME employment contracts). In large firms the barrier is political and cultural more than technical.
Rule of thumb: automate when there are 100+ documents/month of the same type with stable criteria. Below that, it doesn't pay.
Free 30-min diagnosis. We come out with 3-5 use cases prioritised by ROI for your specific law firm.