AI consultants for South Florida law firms.
Document intelligence, discovery automation, and litigation support built on Anthropic Claude and AWS — anchored on our work for Banco Núñez: a 1,500-document bilingual archive supporting Helms-Burton litigation.
Discovery is expensive.
Mid-size and larger law firms run into the same wall every time a complex case enters discovery. The materials exist. The associate hours required to find what matters cost more than the platform that would do it in seconds.
Document overload during discovery
Thousands of pages of correspondence, transaction records, internal memos, and exhibits. Associates spend dozens of billable hours just locating relevant material before review can even begin.
Deposition prep across decades of records
A single witness deposition can require pulling threads across years of communication. Without the right tools, that work scales linearly with the size of the archive.
Bilingual and multi-language archives
Florida cases routinely involve English and Spanish documents in the same matter. Keyword search across languages misses connections that natural-language understanding catches immediately.
Manual document review is a margin killer
Hours that should be spent on case strategy and argument development are spent on retrieval. The firm bills the time, but it doesn't differentiate the work.
Custom document intelligence platforms for your firm's archive.
A platform purpose-built for your firm's documents — not a generic legal AI tool retrofitted to your matter. Built on Anthropic Claude (direct API), with secure AWS infrastructure and the security controls sensitive legal work requires.
Claude-Powered Agentic Retrieval
Plain-English questions in, cited answers out. Claude calls multiple search tools, evaluates results, and synthesizes across documents — not just keyword matching, real reasoning across your archive.
Bilingual Search (EN/ES)
Query in English, retrieve documents regardless of source language. Cross-language semantic search across the entire archive.
Cited, Sourced Answers
Every answer comes back with specific document citations, page references, and relevant excerpts. Designed for legal use where unsourced AI output is unusable.
Conversation Persistence
The platform maintains context across a research session. Follow-up questions don't require re-establishing what case you're working on or what documents you've already reviewed.
Cross-Document Synthesis
The system can connect evidence across multiple documents automatically — a transaction record to a piece of correspondence to a financial statement, all surfaced in a single query.
Encrypted Secure Storage with Audit Logging
All documents stored in encrypted AWS S3 with role-based access controls. Every query, every access, every retrieval is logged with timestamp and user identity — complete chain of custody.
Banco Núñez — Helms-Burton litigation support.
Sixty years of records, searchable in seconds.
We built Banco Núñez a secure, Claude-powered agentic document intelligence platform for their Helms-Burton litigation strategy — indexing 1,500+ historical banking records, correspondence, and financial documents into an instantly queryable knowledge base for legal counsel.
The platform handles bilingual queries, returns cited answers, and maintains conversation context across multi-turn research sessions. The same architecture applies to any law firm with a substantial document archive.
Built for litigation. Adaptable across practice areas.
The same agentic document intelligence architecture applies wherever document volume exceeds what manual review can handle efficiently.
Litigation Support
Discovery automation, deposition prep, document review across large case files. Where our reference platform (Banco Núñez) lives.
Compliance & Regulatory
Cross-referencing regulatory filings, internal policies, and historical correspondence. Tracking obligations across long document chains.
Internal Investigations
Investigative document review across email archives, financial records, and meeting minutes. Surfacing connections that linear review misses.
Knowledge Management
Firm precedent libraries, research collections, and internal memorandum archives made queryable. Surface relevant prior work in seconds.
Built for mid-size and larger firms.
We work best with firms where document volume justifies a custom platform — typically mid-size firms (10–50 attorneys) and larger firms (50+). South Florida priority, remote-friendly nationwide.
Where we fit
Mid-size and larger firms handling matters with substantial document archives. Practice areas with discovery-heavy workflows. Firms where existing legal AI tools fall short because the archive is firm-specific (not public case law).
Where we don't
Solo practitioners and small boutique firms (under 10 attorneys) are usually better served by off-the-shelf legal AI tools. Our engagements start where archive size or query complexity exceeds what generic platforms handle.
Three structured engagements, working software each stage.
We use the same three-engagement model that runs our broader consulting practice — structured, time-bound, with a working deliverable at each stage.
Strategy Assessment
2–3 weeks. We audit your document landscape, map specific use cases your firm wants to address, and deliver a prioritized roadmap with realistic timelines and effort estimates.
Platform Build
8–12 weeks. Document ingestion, OCR processing, Claude-powered agentic retrieval, secure AWS infrastructure, access controls, and audit logging. Production-grade from day one.
Operate & Iterate
Ongoing. Real usage from your attorneys teaches the platform faster than internal testing. We tune retrieval, refine prompts, and expand capability as your firm adopts the system.
What law firm partners actually want to know.
What does an AI document intelligence platform actually do for a law firm?
It lets attorneys ask plain-English questions across thousands of documents and get cited answers with source page references in seconds. The system uses Claude-powered agentic retrieval to call search tools, evaluate results, and synthesize answers across multiple documents — replacing hours of manual review during discovery and deposition prep.
How is this different from existing legal research tools like Westlaw or eDiscovery platforms?
Existing tools search across published case law or generic document indexes. We build platforms that search across your firm's specific document archive — the client correspondence, internal memos, transaction records, and case-specific materials that aren't in any public database. The platform is customized to your archive and your firm's terminology.
Can the system handle bilingual archives (English and Spanish)?
Yes. Our reference implementation for Banco Núñez handles a bilingual archive — attorneys query in English and the system retrieves documents in either language, including handling cross-language semantic search. Claude handles bilingual retrieval natively without separate pipelines.
What security and access controls do you build in?
All documents are stored in encrypted AWS S3 with role-based access controls. Every query, every access, and every document retrieval is logged with timestamp and user identity, providing a complete audit trail. We configure security for sensitive legal materials from day one of the build.
What size law firm is this designed for?
We work with mid-size firms (10–50 attorneys) and larger firms (50+) where document volume justifies a custom platform. Solo practitioners and small boutique firms are usually better served by off-the-shelf legal AI tools. Our engagements start where document archive size or query complexity exceeds what generic tools can handle.
Let's talk about your firm's archive.
Whether you're planning for upcoming discovery, evaluating tools for an existing matter, or thinking about firm-wide knowledge management — we'll discuss what's realistic and what it would take, no obligation.