AI Legal Tech

The world's largest public contract database and clause search engine with millions of SEC legal examples.

• Searchable Repository of: Over 10 million real-world contracts and clauses from SEC filings. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Side-by-side Clause Comparison: Tool showing how different companies handle specific risks. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

AI litigation automation that drafts responses to discovery requests in minutes instead of hours.

• Automated Response Drafting: Provides Interrogatories, Requests for Production (RFPs), and Requests for Admission (RFAs). Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Custom Objection Bank: Applying your firm's preferred evidentiary objections. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The legal copilot that lives inside Microsoft Word, reviewing and drafting contracts using GPT-4.

• Runs Natively Inside: Microsoft Word as a sidebar companion. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Missing Clause Detection: Warning you about overlooked boilerplate and liabilities. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Collaborative cloud ediscovery and litigation platform featuring generative AI for story building and evidence review.

• Storybuilder Timeline Tool: Connecting key documents into an interactive trial narrative. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Everlaw Ai Assistant: Summarizing evidence documents and extracting factual chronologies. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The premier generative AI platform custom-built for elite law firms, corporate legal departments, and PwC.

• Custom-tuned Models Trained: Exclusively on massive legal case law, statutes, and regulatory corpuses. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Accelerates M&a Due: Diligence by reviewing thousands of data room contracts in hours. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

CoCounsel — The groundbreaking AI legal assistant powered by GPT-4 for deposition prep, research, and review.

• Deposition Preparation: Reads thousands of pages of discovery and suggests strategic questions. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Cara Ai Search: Matching opposing counsel briefs with overlooked binding precedents. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The modern standard for Contract Lifecycle Management (CLM) powered by Ironclad AI and digital redlining.

• Ironclad Ai Automated: Redlining comparing third-party paper against your standard playbook. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Workflow Designer: Allowing business teams to self-serve standard NDAs and MSAs without legal bottlenecks. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Cloud-native AI ediscovery platform helping legal teams review millions of documents with Cecilia AI.

• Cecilia Ai Allows: Litigators to ask questions about millions of evidence documents and receive cited answers. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Blazing Fast Cloud: Search executing complex Boolean and metadata queries in milliseconds. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Thomson Reuters' flagship legal research platform with precision filtering and generative legal Q&A.

• Keycite Citation Service: Ensuring cited cases remain good law and have not been overturned. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Precision Research Filters: Targeting specific procedural postures, remedies, and legal standards. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

LexisNexis' conversational legal assistant delivering hallucination-free legal research, drafting, and Shepard's citations.

• Shepard's Citations Service Providing Gold-standard Verification: Precedents remain good law. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Conversational Legal Drafting: Generating initial motions, arguments, and client advisories. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

AI-native contract intelligence platform extracting metadata and tracking post-signature compliance.

• Pre-trained Ai Algorithms: Extracting 50+ key contract data points out of the box with zero training. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Automated Contract Renewal: Alerts preventing accidental vendor auto-renewals. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The legal LLM developed by Cambridge mathematicians for automated document review, M&A due diligence, and negotiation.

• Proprietary Legal Llm: Trained on millions of verified legal documents. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Auto-negotiate Feature Highlighting: Risky clauses and suggesting approved company alternatives. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Judicial analytics platform that maps judicial decision patterns and citation networks (now Lexis CourtLink).

• Judicial Analytics Revealing: Individual judge grant rates on motions to dismiss and summary judgments. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Visual Citation Network: Graphs showing landmark cases and doctrinal evolution. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Automated legal language simplification and contract clarity scoring engine.

• Legal Readability Score: Evaluating grammatical clarity and complexity. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Ambiguity Detector Highlighting Vague Words: Provides could lead to litigation disputes. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The world's first consumer robot lawyer automating customer disputes, parking tickets, and small claims filings.

• Automated Small Claims: Generator drafting demand letters and court filing documents. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Parking Ticket Appeal Generator: Has overturned hundreds of thousands of municipal citations. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

No-code legal automation platform allowing law firms to build conversational intake bots and Copilot workflows.

• No-code Visual Bot Builder Tailored Specifically: Provides law firm websites. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Automated Client Intake: Capturing conflict check info and case facts. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Pioneering precision legal search and brief analysis platform (now part of Fastcase/vLex).

• Clerk Automated Brief Analyzer: Grades your legal brief on argument strength, citations, and vulnerabilities. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Color-coded Citation Mapping: Indicating whether precedents support or oppose your point. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Pioneering AI contract review platform that automatically redlines incoming inbound contracts against your playbook.

• Fully Automated Contract: Redlining returning markup in under an hour. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Strict Adherence to: Company-specific legal fallback positions and risk tolerance. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The machine learning pioneer in M&A contract review, lease abstraction, and due diligence (Litera).

• Over 1,400 Pre-built: Machine learning models identifying change of control, assignment, and non-compete clauses. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Quick Study Feature: Allowing lawyers to train custom extraction models on proprietary clauses in hours. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The historic legal AI pioneer that demonstrated natural language question answering on bankruptcy law.

• Pioneered Natural Language: Question answering on federal bankruptcy law. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Eliminated Boolean Syntax Requirements: Provides legal research. Engineered for high throughput, it integrates into daily AI legal tech workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.