Grievance & SMART Ticketing
A transformer-based LLM handles public and banking grievances using a keyword data dictionary.
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Lexa reviews contracts, summarises cases and handles grievances. Counsel signs off every opinion.
The challenge
Contracts, pleadings and case files take senior hours to read and summarise.
Citizen and banking grievances arrive in volume, in many languages.
Benefit allocation depends on records spread across archives and departments.
Focus use cases
Legal DocGPT reviews contracts, memos and pleadings and flags risky clauses.
Case summaries with an importance heat map.
Predict the nature of a case and likely outcomes from TF-IDF n-grams with XGBoost and neural models.
Analyse policies and their impact for government departments.
Teammate swarm
From the IntelliMesh use-case lab
A transformer-based LLM handles public and banking grievances using a keyword data dictionary.
Combines genealogical records, public archives and user data into one golden record for benefit allocation.
Built on acceleratorsEnterprise RAG & Knowledge · Agentic AI & Multi-Agent Orchestration · Fine-Tuning & Synthetic Data Studio · AI Governance & Guardrails
Use cases and accelerators co-developed with our US partner Mintmore Inc. See mintmore.us.
Law firms, legal departments and government
Agents research precedents, review contracts and summarise cases. Teammates handle grievances and golden records. Counsel signs off every output.
Start the 10·20·30 Pathway
Other industries
Questions
Lexa is Vera's legal AI suite. It analyses contracts, summarises cases with an importance heat map, predicts judgements and generates headnotes.
AI teammates triage and resolve citizen grievances, analyse policy and summarise case files, so departments respond faster with an official approving each decision.
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