Legal
CatechLabs monitors cases, interprets their movements and integrates with the firm's legal software. Your team stops digging through case updates and focuses on what requires a lawyer, with every reading traceable to its source.
ExploreConcrete examples of routines, processes and metrics that AI takes on in legal, finance and tech, always on the systems you already use, with human approval and a full record of every step.
Direct integrations with ERPs, CRMs and public databases, without ripping out and replacing what already works.
Sensitive operations stay blocked until human approval, with immutable logs of every step.
Start with one critical routine, prove the value and expand into a network of agents by area.
Agents, data and governance calibrated for the sectors where a wrong decision is expensive, and auditing is not optional.
CatechLabs monitors cases, interprets their movements and integrates with the firm's legal software. Your team stops digging through case updates and focuses on what requires a lawyer, with every reading traceable to its source.
ExploreCatechLabs went into the operation and fixed where time was leaking, area by area. Bank reconciliation so controllership closes faster. Supplier onboarding without the team spending days validating documents. Automated production reporting, with less raw-material waste.
ExploreCatechLabs distributes stock across stores, anticipates expected stockouts per SKU and automates purchase orders for replenishment. The chain stops selling blind and losing sales to out-of-stock.
ExploreLarge-scale analysis of portfolios to extract change of control, exclusivity, and termination fee clauses, generating a findings sheet with a citation to the source for each point.
Automatic comparison of new contracts against company standard clauses, flagging wording differences and risks that require partner review.
Agents read procedural updates and petitions to suggest risk classification (probable, possible, remote) based on precedents and new facts.
Daily reading of official gazettes to identify summonses, summarize judicial orders, and pre-schedule deadlines in management systems (CPJ/Projuris).
Scanning document repositories to locate personal and sensitive data, generating impact and compliance reports for the DPO.
Agents read voluminous legal records (1,000+ pages) and generate a timeline of procedural events and current status to prepare the partner before a hearing.
Upon receiving an initial petition, the AI reads the document, extracts parties, amounts, jurisdiction, and request, filling out the registration draft in the legal management system.
Daily reconciliation between POS sales, acquirer statements, and bank deposits, isolating fee and cancellation discrepancies.
Automated collection of certificates, negative media analysis, and sanctions list queries to build approval dossiers for new partners.
Reading invoice files (XML) and service PDFs to validate ISS, IRRF, CSLL, and PIS/Cofins withholdings against contracts and municipal legislation.
Applying new VAT rates (IBS/CBS) over billing and purchase history to project impact on cash flow and final pricing.
Reading financial statements in different formats to convert them into a single rating analysis structure, speeding up B2B credit approval.
Data extraction from expense receipts, verification against company travel policy, and batch preparation for payment via ERP.
Agents execute the reconciliation of balance sheet accounts and generate adjustment entries, reducing the controller's closing time.
Agents review every code change searching for security flaws (OWASP Top 10) and logic vulnerabilities before it goes live.
Using agents to read old systems (Cobol, legacy Java) and extract documented business rules for migration or modernization.
Centralized dashboard measuring deployment frequency, lead time for changes, failure rate, and time to recovery in real time.
Identification of unusual cloud costs in AWS/Azure by tag or service, suggesting shutdown of idle resources or resizing of oversized ones.
Agents correlate system logs, metrics, and code changes to explain the 'why' of an outage, automatically generating the incident-review draft.
Keeping technical documentation always up to date with the way the system actually works.
Masking of live data for use in development, ensuring that no real customer data is exposed to developers.
Agents searching system logs and technical knowledge bases to suggest solutions for complex tickets, reducing resolution time.
We map your operations, prove value on one critical agent and expand by area, with no big bang.
Auditable · Secure · Sovereign