Legal & Financial AI: Automating Complex Workflows
Legal and financial documents are dense, jargon-heavy, and highly sensitive. At Jeenish AI Solutions, we help AI teams build models that can extract insights, automate documentation, and assist with compliance by supplying structured, human-reviewed training data. From contract intelligence to sentiment analysis in financial reviews, we bring multilingual, domain-aware annotation services tailored to regulated industries.
Named Entity Recognition (NER) for Contracts & Reports
We label entities like names, clauses, dates, monetary amounts, legal provisions, and case references using NER annotation, enabling AI to understand and parse unstructured legal and financial documents.
Example: Annotating purchase agreements to highlight “termination clause,” “buyer,” “seller,” and “payment terms” for contract review platforms.
Document Classification & Hierarchy Tagging
Our annotators label documents based on type (e.g., NDA, invoice, audit report), hierarchy (e.g., section vs. clause), or legal area (e.g., employment law, IP law) using text classification and section tagging.
Example: Categorizing thousands of financial documents as “quarterly earnings report,” “SEC filing,” or “invoice discrepancy” for automated sorting and archival.
Sentiment & Risk Tagging in Financial Texts
We annotate analyst reports, earnings calls, and investor sentiment using sentiment & intent annotation, enabling risk models to predict volatility, fraud potential, or deal closure likelihood.
Example: Labeling a CFO’s earnings call remarks as “cautiously optimistic” vs. “negative trend alert.”
Summarization of Legal & Financial Documents
We support text summarization tagging by identifying key clauses or insights in lengthy documents—making LLM-based tools more accurate for legal summaries or financial briefings.
Example: Tagging summary-worthy content in a 100-page contract to train an AI assistant for legal teams.
Multilingual Legal Translation & QA
Our trained linguists provide multilingual translation and localization of legal notices, disclaimers, compliance documents, or financial statements—ensuring context accuracy and regulatory alignment.
Example: Translating privacy policy changes from English to French and Japanese, with legal terminology preserved.
LLM Evaluation & Correction for Legal Tech
We evaluate AI-generated contract summaries, legal Q&A, or document responses using human-in-the-loop LLM output review, identifying hallucinations, omissions, or incorrect references.
Example: Correcting a generative AI assistant that misidentifies a clause as “non-compete” instead of “termination for cause.
Voice-to-Text & Timestamped Transcription for Depositions & Calls
We offer clean, timestamped transcriptions for legal proceedings, financial advisory sessions, or compliance calls—enabling downstream analysis and secure archival.
Example: Transcribing and tagging a multilingual arbitration hearing with speaker labels and legal terminology accuracy.
Why It Matters?
In legal and financial domains, precision, compliance, and confidentiality are non-negotiable. Jeenish AI Solutions delivers secure, domain-specific annotation pipelines that power everything from intelligent contract review and fraud detection to financial chatbots and multilingual compliance automation.