AI / Legal / LLM

AI for legal, built on real legal AI experience.

We design and ship legal AI as production infrastructure, contract analysis AI, vertical legal LLMs and research agents that do real legal work, not demos. We already built LiciNexus for public tenders and Infrajus as a legal SaaS.

Projects

CHOSING is an AI-first company that builds AI for legal end-to-end, contract analysis AI, legal LLMs and research agents, proven by LiciNexus for public tenders and the Infrajus legal SaaS.

What we build

Document extraction with LLMs

Read and structure contracts, tenders and case files at scale, turning legal documents into clean data.

Contract analysis AI

Clause detection, risk flags and obligation tracking on contracts and tender notices, reviewed in minutes, not days.

Vertical legal models

LLMs fine-tuned on legal corpora and your firm's matter history, the domain depth generalist models lack.

RAG over legal corpus

Grounded answers over statutes, case law and internal precedent, with citations your team can verify.

Legal research agents

Autonomous agents that search, cross-reference and draft, accelerating opinions and case preparation.

Due diligence automation

End-to-end review pipelines for M&A, compliance and litigation, with measured time and cost savings.

Questions

How do you use AI in the legal field?

AI for legal reads and structures documents, analyzes contracts, runs research over case law and automates due diligence. CHOSING builds this end-to-end, from legal LLMs and RAG to agents, the same approach behind LiciNexus and Infrajus.

Can AI analyze contracts and tender notices?

Yes. Contract analysis AI detects clauses, flags risk and tracks obligations across large document sets. We built exactly this for public tenders in LiciNexus, where models read and qualify notices automatically.

Can you build an LLM trained on Brazilian law?

Yes. We fine-tune and train vertical legal models on closed legal corpora and your matter history, then wrap them in RAG and agent orchestration, with citations so output is auditable.

Is the output reliable and traceable?

We ground every answer in source documents with citations and human review checkpoints, so lawyers verify, not blindly trust. Evals and monitoring keep the system correct in production.

How long does a legal AI project take?

A focused first version typically ships in weeks. We work in milestones so your team sees working legal AI in production early and iterates from real usage.

Let's build the AI that runs your legal work.