Services
Development of AI systems to parse massive volumes of contract data, conduct predictive litigation analysis, and automate compliance checking with rigorous domain-specific training and human-in-the-loop safeguards. Sub-services include predictive litigation outcome modeling, AI contract lifecycle management systems, automated regulatory compliance auditing, and NLP for legal discovery.
End-to-end development of AI systems that automate the entire contract lifecycle, from intelligent drafting and clause analysis to automated negotiation, execution tracking, and renewal management, reducing legal review cycles by up to 80%.
Engineering of machine learning models that analyze historical case data, judge rulings, and legal precedents to predict litigation outcomes, settlement values, and case timelines, enabling data-driven legal strategy and resource allocation.
Development of AI agents that continuously monitor regulatory changes across jurisdictions, automatically audit internal policies and communications for compliance gaps, and generate audit-ready reports for frameworks like GDPR, CCPA, and SEC rules.
Building of high-precision NLP systems for e-discovery that parse millions of unstructured documents, emails, and communications to identify privileged information, key themes, and responsive materials, drastically reducing manual review costs.
Custom pre-training and fine-tuning of language models on proprietary legal corpuses—case law, contracts, regulations—to create specialized Legal DSLMs with dramatically reduced hallucination rates and higher accuracy for legal reasoning tasks.
Engineering of AI systems that process and cross-reference text, handwritten notes, signatures, and diagrams within legal documents (scanned PDFs, deeds, patents) to extract enforceable terms and identify anomalies or inconsistencies.
Design and integration of coordinated AI agent systems that autonomously execute multi-step compliance workflows, such as sanction screening, AML checks, and policy adherence verification, across disparate enterprise data sources.
Architecture of scalable Retrieval-Augmented Generation systems specifically for legal knowledge bases, integrating vector databases with semantic chunking strategies to ground LLM outputs in authoritative case law and internal precedents.
Specialized service to convert decades of scanned PDFs, microfiche, and unstructured legacy legal documents into structured, searchable data using OCR, computer vision, and NLP, unlocking historical data for modern AI workflows.
Development of AI systems that automate the review of thousands of contracts, financial statements, and corporate records during mergers and acquisitions, identifying liabilities, obligations, and risks in weeks instead of months.
Building of AI tools that monitor internal and external channels for IP infringement, automate patent prior art searches, and ensure licensing agreement compliance across global product portfolios and R&D activities.
Development of automated systems to manage data subject access requests (DSARs), data mapping, consent tracking, and breach notification workflows, ensuring continuous compliance with evolving global privacy regulations.
Engineering of real-time AI transaction monitoring and customer risk scoring systems that detect complex money laundering patterns and suspicious activities, reducing false positives and adapting to new typologies.
Development of AI systems that analyze board communications, meeting minutes, and shareholder materials to monitor governance practices, identify conflicts of interest, and ensure adherence to corporate charter and bylaws.
Engineering of legal AI systems with built-in explainability frameworks that provide clear, auditable rationales for their outputs—such as contract risk scores or compliance flags—critical for regulatory acceptance and human-in-the-loop validation.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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