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== <span style="color: #FFFFFF;">Applying</span> == '''Contract clause extraction with LegalBERT:''' <syntaxhighlight lang="python"> from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline # LegalBERT fine-tuned for contract NER # Alternative: custom fine-tuning on CUAD (Contract Understanding Atticus Dataset) tokenizer = AutoTokenizer.from_pretrained("nlpaueb/legal-bert-base-uncased") model = AutoModelForTokenClassification.from_pretrained( "nlpaueb/legal-bert-base-uncased" ) ner = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple") def extract_contract_entities(contract_text: str) -> dict: """Extract key contract entities.""" entities = ner(contract_text[:512]) # Process in chunks for long contracts result = {} for ent in entities: label = ent['entity_group'] if label not in result: result[label] = [] result[label].append(ent['word']) return result # CUAD-based clause classifier from transformers import AutoModelForSequenceClassification CUAD_CATEGORIES = [ "Governing Law", "Termination for Convenience", "Limitation of Liability", "Indemnification", "IP Ownership", "Non-Compete", "Exclusivity" ] def classify_clause(clause_text: str, category: str) -> float: """Predict probability that a clause contains a specific contract category.""" prompt = f"Does this clause contain {category}? Clause: {clause_text}" # Use fine-tuned BERT on CUAD dataset for this binary classification pass # Implementation depends on fine-tuned model contract_sample = """ This Agreement shall be governed by the laws of the State of Delaware. Either party may terminate this Agreement upon thirty (30) days written notice. """ entities = extract_contract_entities(contract_sample) print(entities) </syntaxhighlight> ; Legal AI tools landscape : '''Contract review''' β Kira, Luminance, LexCheck, SpotDraft, Ironclad AI : '''Legal research''' β Harvey (GPT-4 based), Casetext CoCounsel, Lexis+ AI, Westlaw AI : '''eDiscovery / TAR''' β Relativity aiR, Reveal, Everlaw AI : '''Regulatory monitoring''' β Droit, Ascent RegTech, Clausematch : '''Document generation''' β ContractPodAi, Juro, Ironclad β AI drafting from templates </div> <div style="background-color: #8B4500; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
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