The Challenge
Legal teams are overwhelmed by volume and complexity
Contract backlogs, outside counsel costs, and compliance obligations are consuming legal bandwidth that should go to strategic risk management.
Contract Review Backlog
Enterprise legal teams review thousands of contracts annually. Manual review of NDAs, MSAs, and vendor agreements creates backlogs that delay business operations and consume senior attorney time on routine matters.
Outside Counsel Costs
Routine legal work outsourced to BigLaw firms costs $300–1,000 per hour. The majority of outside counsel spend goes to work that AI can now perform, research, first-pass document review, and contract analysis.
Regulatory Compliance Tracking
The pace of regulatory change across data privacy, employment law, and industry-specific regulations is accelerating. Legal teams lack systems to track changes and assess impact on existing policies and contracts.
M&A Due Diligence Volume
Deal teams review thousands of contracts in data rooms under compressed timelines. Manual review of target company contracts is a bottleneck that limits deal throughput and introduces risk.
Education AI Solutions
AI systems for contract management, legal ops, and compliance
Contract Review AI
AI that reviews contracts against your playbook, flags non-standard clauses, identifies missing provisions, and suggests market-standard alternatives, in minutes rather than hours.
Legal Research Acceleration
AI research systems trained on case law, regulatory guidance, and internal precedents, answering research questions with cited sources in seconds rather than hours of manual Westlaw searching.
M&A Due Diligence Automation
AI that processes data room documents at scale, extracting key terms, identifying change-of-control provisions, surfacing litigation risk, and generating issue summaries for deal teams.
Compliance Monitoring AI
Systems that monitor regulatory changes across jurisdictions, assess impact on existing policies and contracts, and generate remediation recommendations, automatically.
Contract Lifecycle Management AI
AI that extracts obligation schedules, renewal dates, and key terms from your contract portfolio, creating a structured database from unstructured agreements and alerting on approaching milestones.
Legal Spend Analytics
AI analysis of outside counsel invoices, matter management data, and billing records, identifying billing anomalies, rate creep, and opportunities to shift work in-house or to lower-cost firms.
End-to-End Implementation
End-to-end AI implementation for legal
Solnix delivers the full lifecycle, from opportunity mapping through production deployment and continuous improvement. The same proven methodology powers every legal engagement, tailored to your systems, data, and workflows.
Discovery & AI Opportunity Mapping
We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.
Data Foundation & Readiness
AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.
Model & Agent Development
We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.
Integration & Workflow Embedding
AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.
Deployment, Security & Compliance
We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.
Optimization & Continuous Improvement
AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.
Methodology
How Solnix Builds Legal AI
01, Legal Workflow Assessment
01, Legal Workflow Assessment
We map your contract review process, research workflows, and compliance obligations, quantifying attorney time on automatable tasks and identifying the highest-ROI AI interventions.
02, Playbook & Knowledge Ingestion
02, Playbook & Knowledge Ingestion
Legal AI is trained on your specific contract playbooks, fallback positions, and internal precedent library, so it applies your standards, not generic market practice.
03, Privilege & Confidentiality Architecture
03, Privilege & Confidentiality Architecture
All legal documents are processed within strictly access-controlled environments. Attorney-client privilege and work product protections are preserved in system design and data handling protocols.
04, Attorney Review Workflow Design
04, Attorney Review Workflow Design
Legal AI assists attorneys, it does not replace attorney judgment on high-stakes matters. We design review workflows that direct attorney attention to the highest-risk issues surfaced by AI.
05, Matter System Integration
05, Matter System Integration
AI outputs integrate with Ironclad, Conga, Icertis, iManage, and NetDocuments, surfacing contract intelligence within existing matter management and document management workflows.
FAQ
Questions from General Counsels, CLOs, and legal ops leaders
Get Started
Review More. Research Faster. Spend Less on Outside Counsel.
Solnix builds legal AI that gives in-house teams the capacity to handle more work internally, freeing attorneys for the strategic risk management that adds real value.
Request a Legal AI Assessment →