Manual legal document review is an inefficient, time-consuming process. In an increasingly complex legal and regulatory environment, the length and quantity of documents is growing, compounding the cost of high-quality document review. Redlining contracts is a tedious, time-intensive, and error-prone process that requires multiple levels of review and approval.

Our Automated Legal Document Review solution automates and optimizes legal document workflows, enabling legal teams to handle a higher volume of contracts with increased efficiency and fewer bottlenecks. The solution leverages Scale’s advanced document extraction technology, advanced reasoning agents, and fine-tuned extraction models that are pre-trained on a large corpus of enterprise documents for high-accuracy data extraction.

Generative models are fine-tuned with this data, high-quality legal data from Scale Data Engine, your playbooks, and your past contracts. These models are then able to accurately identify sections to review, along with context-based revision suggestions that can be accepted with a single click or further edited by the team.

• Automated Contract Review
  Ingest, extract data from, and summarize large volumes of legal contracts automatically. The assistant identifies critical clauses, potential risks, and discrepancies, ensuring nothing important is overlooked. This drastically reduces the time spent on initial reviews, freeing up legal teams to focus on more strategic work.

• Analysis Tailored to Your Company Preferences
  Models are fine-tuned with your data to reflect your organization’s specific legal and contractual preferences, including unique clauses, risk thresholds, and business standards. Advanced multi-document reasoning agents improve the accuracy of this analysis and ensure comprehensive document review. This ensures that the analysis aligns perfectly with your company’s legal requirements and strategic goals.

• Redline Generation
  The assistant automatically generates redlines based on your company’s playbook, policies, and historical contracts, highlighting areas that require revision or attention. This makes it easy for lawyers to review and finalize contracts, without having to manually go through every clause.

• Monitoring and Continuous Improvement
  Monitor redline generation across your team, giving you full transparency into the performance of the data analysis and redline generation process and the efficiency gains realized by your team. The solution learns from successful and unsuccessful generation attempts for continuous model improvement, so your suggestions get even more accurate over time.

This powerful Generative AI solution was built with:

• Advanced document extraction technology and fine-tuned extraction models that are pre-trained on large volumes of high-quality legal data from Scale Data Engine, your playbooks, and your past contracts for improved accuracy.
• Preconfigured extraction and redlining schemas and templates for common document types and redlines.
• State-managed agentic workflows for reasoning across different document templates; these agents leverage chain-of-thought to ensure accuracy in redline suggestions; the agent checks its work along the way to minimize errors.