Who should use the Analyze legal contracts workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Finance & Legal
Streamlined workflow to extract and analyze key clauses, obligations, and risks from legal contracts using AI-powered contract analysis tools.
Deliverable outcome
Each contract has a finalized, actionable summary report ready for decision-makers.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
Each contract has a finalized, actionable summary report ready for decision-makers.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Lexion to all contracts are digitized, readable, and uniformly formatted for ai ingestion. Then, you pass the output to Kira to all key clauses and metadata are extracted and stored in a structured format (e.g., csv or database). Then, you pass the output to LegalSifter to each contract has a risk profile with identified high-risk clauses and obligation types clearly documented. Then, you pass the output to LexCheck to a deviation report showing all clauses that differ from preferred standards, prioritized by impact. Finally, Onvo AI is used to each contract has a finalized, actionable summary report ready for decision-makers.
Collect and prepare contract documents
All contracts are digitized, readable, and uniformly formatted for AI ingestion.
Extract key clauses and metadata
All key clauses and metadata are extracted and stored in a structured format (e.g., CSV or database).
Analyze obligations and risks
Each contract has a risk profile with identified high-risk clauses and obligation types clearly documented.
Compare against standard terms and benchmarks
A deviation report showing all clauses that differ from preferred standards, prioritized by impact.
Generate a structured contract summary and recommendations
Each contract has a finalized, actionable summary report ready for decision-makers.
Gather all contract files (PDF, Word, scanned images) into a single secure folder. Use OCR tools to convert scanned documents into machine-readable text, then normalize formatting (remove headers/footers, standardize line breaks) to ensure clean input for AI analysis.
Why Lexion: Lexion provides automated metadata extraction and legal intake management, which supports document collection and preparation, though it lacks OCR; it is the closest fit among the menu for file management and document handling.
Use an AI contract analysis tool (e.g., Kira Systems, LawGeex, or a custom NLP pipeline) to automatically identify and extract standard clauses such as confidentiality, termination, indemnification, and governing law. Also extract metadata like parties, effective dates, and contract value.
Why Kira: Kira is a well-known AI contract analysis platform specifically designed for contract review, due diligence, and clause extraction, directly matching the step's need.
For each extracted clause, assess the level of obligation (e.g., mandatory vs. discretionary) and flag high-risk language (e.g., unlimited liability, automatic renewal without notice, broad indemnification). Use a risk scoring rubric (e.g., low/medium/high) and annotate each clause with a risk rationale.
Why LegalSifter: LegalSifter specializes in contract review, risk scoring, and obligation extraction, directly addressing the needs of analyzing obligations and risks.
Compare extracted clauses to a set of preferred or standard terms (e.g., company playbook, industry benchmarks). Flag deviations such as non-standard indemnification caps, unusual termination notice periods, or missing clauses. This step highlights negotiation points or compliance gaps.
Why LexCheck: LexCheck is designed for automated contract redlining and playbook compliance auditing, which aligns with comparing against standard terms and benchmarks.
Compile all findings into a concise, structured summary per contract: parties, effective dates, key obligations, risk scores, and flagged deviations. Add actionable recommendations (e.g., 'renegotiate indemnification cap', 'accept as-is'). Export as a PDF or dashboard for stakeholder review.
Why Onvo AI: Onvo AI generates dashboards and automates report generation from natural language, which fits the need for structured summaries and recommendations.
§ Before you start
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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