Astraea | AI Contract Analysis

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Your analysis must be precise, objective, and strictly confined to the rules defined in the provided Legal Playbook. Employ the formal, unambiguous language of a seasoned legal professional. The objective is to produce an analysis that is immediately actionable and exhibits a deep, structured understanding of contract risk, as if prepared by senior counsel.`;\n\nconst LEGAL_ANALYSIS_PROMPT = `\nYou are a Virtual General Counsel AI, an expert in meticulous contract analysis. Your sole function is to compare a provided contract text against a specific, structured Legal Playbook. You must not offer opinions or advice beyond the scope of the playbook rules.\n\nYour task is to analyze the contract against the playbook. For each clause defined in the playbook, you must locate the corresponding section in the contract text. You will then determine if the contract's language complies with, deviates from, or is missing the requirements specified in the playbook rule.\n\nFor each playbook clause, you will generate a finding. Your response MUST be a single, minified JSON object with one root key: \"analysis\". This key must contain an array of finding objects. Each finding object must have the following structure:\n- \"clauseName\": string - The name of the clause from the playbook (e.g., \"Limitation of Liability\").\n- \"status\": string - One of three possible values: \"Compliant\", \"Deviation\", or \"Missing\".\n- \"contractText\": string - The exact, verbatim excerpt from the contract that corresponds to the clause. If the clause is missing, this should be an empty string.\n- \"reasoning\": string - A concise, professional explanation of your finding. If a deviation, explain precisely how the contract language violates the playbook rule. If compliant, state that it meets the requirements. If missing, state that no corresponding clause was found.\n- \"recommendation\": string - A specific, actionable recommendation. For deviations, provide a clear suggestion for revision to bring the clause into compliance. For missing clauses, recommend adding a clause that meets the playbook's requirements. For compliant clauses, state \"No action required.\"\n\n${GENERATION_STYLE_GUIDE}\n`;\n\n// --- LEGAL PLAYBOOKS ---\n// This structure defines the standard rules against which contracts are compared.\nconst PLAYBOOKS = {\n saas_agreement: {\n playbookName: \"Standard SaaS Agreement\",\n clauses: {\n \"Limitation of Liability\": {\n requirement:\n \"Liability must be mutual and capped. The cap must be equal to or greater than the fees paid or payable in the preceding 12 months. Consequential, indirect, and punitive damages must be explicitly excluded for both parties. A minimum general liability coverage of $3,000,000 is expected.\",\n },\n \"Warranty\": {\n requirement:\n \"The agreement must contain a disclaimer of warranties for any third-party or open-source software. For contracts involving federal flow-down terms, any warranty related to intellectual property infringement must be qualified with the word 'knowingly' (e.g., '...will not knowingly infringe...').\",\n },\n \"Data Privacy & Security\": {\n requirement:\n \"The agreement must reference a separate Data Processing Addendum (DPA) and commit to industry-standard security measures (e.g., SOC 2 Type II, ISO 27001).\",\n },\n \"Term and Termination\": {\n requirement:\n \"The initial term should be clearly defined. Termination for convenience must require at least 30 days' written notice. Termination for cause must include a cure period of no less than 30 days for remediable breaches.\",\n },\n \"Indemnification\": {\n requirement:\n \"Indemnification obligations for IP infringement must be provided by the vendor. Customer indemnification should be limited to their use of the service in violation of the agreement or their own data.\",\n },\n },\n },\n mutual_nda: {\n playbookName: \"Mutual Non-Disclosure Agreement\",\n clauses: {\n \"Definition of Confidential Information\": {\n requirement:\n \"The definition must be broad enough to cover all forms of information (written, oral, electronic) but must explicitly exclude information that is: (a) publicly known, (b) already in the recipient's possession without a duty of confidentiality, (c) independently developed, or (d) rightfully received from a third party. These are the standard exclusions.\",\n },\n \"Obligations of Receiving Party\": {\n requirement:\n \"The receiving party must be obligated to use the information solely for the 'Purpose' of the agreement and to protect it with at least the same degree of care they use for their own similar information, but no less than a reasonable degree of care.\",\n },\n \"Term of Confidentiality\": {\n requirement:\n \"The obligation of confidentiality must survive the termination of the agreement. A typical term is 3-5 years, but for trade secrets, the obligation must persist as long as the information remains a trade secret under applicable law.\",\n },\n \"Return or Destruction of Information\": {\n requirement:\n \"Upon termination or request, the receiving party must be required to return or destroy all confidential information. An exception for one copy retained in confidential legal files for compliance purposes is acceptable.\",\n },\n \"No License Granted\": {\n requirement:\n \"The NDA must explicitly state that no license or right to any intellectual property is granted by the disclosure of confidential information.\",\n },\n },\n },\n};\n\n// --- HTML & FRONTEND ---\n\nfunction generateHtml(sourceUrl) {\n return `\n\n\n \n \n Astraea | AI Contract Analysis\n \n \n \n\n\n\n

\n \n

\n Select Legal Playbook\n \n

\n Paste Contract Text\n \n

\n \n \n

\n\n

\n\n\n\n`;\n}\n\n/**\n * Extracts a JSON object from a string that may contain conversational text.\n * @param {string} text - The raw string from the AI response.\n * @returns {object | null} The parsed JSON object or null if not found.\n */\nfunction extractJson(text) {\n const match = text.match(/\\\\{.*\\\\}/s);\n if (!match) {\n return null;\n }\n try {\n return JSON.parse(match[0]);\n } catch (e) {\n console.error(\"Failed to parse extracted JSON:\", e);\n return null;\n }\n}\n\nexport default async function(req: Request) {\n const url = new URL(req.url);\n\n if (req.method === \"POST\") {\n try {\n const openai = new OpenAI();\n const { playbookName, contractText } = await req.json();\n\n if (!playbookName || !contractText) {\n throw new Error(\"Missing 'playbookName' or 'contractText' in request body.\");\n }\n\n const playbook = PLAYBOOKS[playbookName];\n if (!playbook) {\n throw new Error(`Invalid playbook name: ${playbookName}.`);\n }\n\n const userMessage = `\n Contract Text:\n ---\n ${contractText}\n ---\n\n Legal Playbook:\n ---\n ${JSON.stringify(playbook)}\n ---\n `;\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: LEGAL_ANALYSIS_PROMPT },\n { role: \"user\", content: userMessage },\n ],\n temperature: 0.1, // Low temperature for deterministic, rule-based output\n response_format: { type: \"json_object\" },\n });\n\n const rawContent = completion.choices[0].message.content;\n const parsedContent = extractJson(rawContent);\n\n if (!parsedContent || !parsedContent.analysis) {\n console.error(\"AI Response did not contain a valid 'analysis' key. Raw content:\", rawContent);\n throw new Error(\"The AI returned a response in an unexpected format. Please try again.\");\n }\n\n return new Response(JSON.stringify(parsedContent), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Contract Analysis Error:\", error);\n return new Response(JSON.stringify({ error: error.message || \"An internal server error occurred.\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // Serve HTML for GET requests\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n}","createdAt",["D",1755238809247],"branchVersion","branchId","52fd4154-799f-11f0-988a-0224a6c84d84","id","52fcd26e-799f-11f0-988a-0224a6c84d84","untitled-8115",["D",1755238564749],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","63f04ac0-562b-11f0-a849-2f0fd58d5bdc","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","0abcaa5c-2531-4e34-967b-6f68bd9904a8","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_94":93,"_101":97},"org",{"_94":93,"_95":-5,"_96":97,"_18":53,"_98":99,"_100":25},"branch",{"_13":83,"_32":84,"_42":41,"_85":43,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":44,"_92":93},"isOwned",8,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","real","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzJ6Rng5NEh2b3dPMmVwbThwVm1keXA3aTk5bCJ9","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":148,"_46":-5,"_47":25,"_48":49,"_50":49,"_51":-5,"_52":-5,"_18":53,"_54":31,"_55":56,"_57":56,"_58":-5,"_59":60,"_61":62,"_63":-5,"_64":-5,"_65":-5,"_66":-5,"_67":68,"_69":68,"_70":71,"_72":71,"_73":71,"_74":68,"_75":68,"_76":149,"_78":150,"_80":151,"_82":25},"tree",[143],"files",[143],"counts",{"_132":60,"_133":134,"_135":60,"_136":137,"_138":139},"contents",[124],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_42":125,"_32":28,"_30":31,"_126":-5,"_40":41,"_39":14,"_127":25,"_37":128,"_13":129,"_33":34,"_35":36,"_24":25,"_130":-5,"_27":131},"e4b99fd4-799f-11f0-a428-0224a6c84d84","parentId","latest",["D",1755238809247],6,"label",[28],"pulls","branches",1,"forks","envVars",{"_140":60,"_142":60},"connections",{"_140":60,"_141":60},"count","unfilledCount","emptyCount",{"_42":125,"_32":28,"_30":31,"_126":-5,"_40":41,"_39":14,"_127":25,"_37":144,"_13":129,"_33":34,"_35":36,"_24":25,"_130":-5,"_145":146,"_27":147},["D",1755238809247],"children",[],[28],["D",1755238564749],{"_94":93,"_101":97},{"_94":93,"_95":-5,"_96":97,"_18":53,"_98":99,"_100":25},{"_13":83,"_32":84,"_42":41,"_85":43,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":44,"_92":93},"ctx",{"_76":-5,"_121":185,"_186":187,"_188":189,"_190":25,"_191":25,"_192":25,"_193":56,"_194":-5,"_195":-7,"_196":-7,"_197":60,"_198":25,"_199":25,"_200":-5,"_201":25,"_202":25,"_203":25,"_204":-5},"ENV",{"_156":157,"_158":159,"_160":84,"_161":162,"_163":164,"_165":166,"_167":168,"_169":170,"_171":172,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","71c1b20804b3232a7e513be260cfffc1932a9e97","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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