Legislative Intelligence
Bill search, text analysis, comparison, timeline tracking, momentum scoring, passage prediction, and cosponsor prediction - 10 capabilities covering every stage of the legislative process.
Legislative Intelligence
See the summary view → for a quick overview of all Legislative Intelligence capabilities.
10 capabilities covering bill search, text analysis, comparison, procedural tracking, and predictive analytics across the full legislative lifecycle. Powered by data from Congress.gov, the Government Publishing Office, and the Congressional Research Service - updated daily and indexed for both keyword and semantic search.
Bill Search & Tracking
Search federal legislation by keyword, sponsor, committee, status, or bill number across every Congress from the 93rd (1973) to the present. Apogee uses vector embeddings to enable semantic search - asking about "clean energy tax incentives" surfaces bills using different terminology like "renewable energy credits" or "Section 45 production tax credit." Results include bill title, status, sponsor, committee assignment, and latest action.
You can filter by Congress session, chamber, policy area, bill status (introduced, passed committee, passed chamber, enacted), and sponsor party. Amendment search covers both House and Senate amendments with sponsor attribution and purpose text.
Unlike dashboard-based tools that require you to construct boolean queries across multiple filter panels, Apogee interprets natural language questions and returns ranked results with context.
Data: Congress.gov API - bills, amendments, actions, sponsors, and cosponsors. 119th Congress fully synced; historical coverage back to the 93rd Congress (1973).
Bill Text Q&A
Ask questions directly about the full text of any federal bill and get AI-generated answers with specific section and provision citations. Apogee retrieves the bill text, splits it into semantically meaningful chunks, and uses retrieval-augmented generation (RAG) to find the relevant sections before synthesizing an answer.
This is particularly valuable for omnibus legislation and appropriations bills where relevant provisions are buried in hundreds of pages. Instead of reading the full text of the Inflation Reduction Act or the National Defense Authorization Act, ask a targeted question and get a precise answer with page references.
How it works: Bill text is sourced from the Government Publishing Office (GPO) in XML format, parsed into structured sections, and indexed with vector embeddings. When you ask a question, the most relevant chunks are retrieved and passed to an AI model for synthesis.
Data: GPO bulk data - full bill text for all tracked legislation in XML and plain text format.
Bill Comparison
Side-by-side analysis of two bills, producing structured comparisons of key differences, shared provisions, and policy implications. Useful for comparing House and Senate companion bills, competing approaches to the same policy issue, or current legislation against previous Congress versions.
Apogee reconstructs the full text of both bills from indexed chunks, then uses AI to produce a structured comparison covering scope differences, funding mechanisms, enforcement approaches, and affected populations. An optional focus parameter lets you narrow the comparison to specific aspects - for example, comparing only the environmental provisions of two infrastructure bills.
How it works: Full bill text for both bills is retrieved from the index. AI performs the comparative analysis, producing structured output with section-level citations from both bills.
Data: GPO bill text for both bills, reconstructed from stored chunks.
Cosponsor Analysis
View every cosponsor for any federal bill with breakdowns by party, state, chamber, and date added. Understand the bipartisan composition of a bill's support base at a glance - how many Republicans vs. Democrats, which states are represented, and when cosponsors joined.
Cosponsor data pairs with cosponsor prediction to forecast which members are statistically likely to cosponsor based on their historical collaboration patterns. Together, these capabilities answer both "who supports this bill?" and "who else might?"
Data: Congress.gov cosponsor records, updated daily. Includes original cosponsors and those added after introduction.
CRS Report Intelligence
Search, retrieve, and summarize Congressional Research Service reports - the nonpartisan research arm of Congress that produces authoritative analyses of policy issues, legislative proposals, and government programs. Apogee indexes CRS reports with hybrid search combining keyword matching and semantic embeddings, so you can find relevant reports even when you don't know the exact title or report number.
Summaries are AI-generated from the full report text, condensing 20-50 page reports into structured briefings that preserve key findings, policy options, and legislative context. You can also retrieve the full report text for deeper analysis.
How it works: CRS reports are ingested from the Congress.gov CRS endpoint, parsed into sections, and indexed with vector embeddings. Search combines keyword scoring with semantic similarity for robust retrieval.
Data: Congressional Research Service reports from 2018 to present, sourced from Congress.gov. New reports indexed within 24 hours of publication.
Legislative History Timeline
Full chronological action history for any bill - every introduction, committee referral, hearing, markup, amendment, floor vote, conference action, and presidential signature or veto. The timeline shows exactly where a bill stands in the legislative process and the complete sequence of events that brought it there.
This is essential for understanding procedural context. A bill that was referred to committee six months ago with no further action tells a different story than one that moved through markup last week. The timeline reveals stalled legislation, fast-tracked bills, and procedural maneuvers that aren't visible from a simple status field.
Data: Congress.gov bill actions API, which records every official action taken on a bill from introduction through enactment. Updated daily.
Legislative Momentum Scoring
A composite scoring system that quantifies how much political energy is building around a bill by combining four real-time signals: cosponsor velocity (how fast new cosponsors are joining, weighted 30%), media coverage surge (recent news mentions vs. baseline, weighted 30%), lobbying intensity (new lobbying registrations on the bill, weighted 25%), and hearing activity (recent committee attention, weighted 15%).
Each signal is normalized 0-1 across the result set, producing a composite momentum score that makes bills comparable regardless of their baseline activity level. A bill with 3 cosponsors that just gained 2 more this week may have higher momentum than a bill with 50 cosponsors that hasn't gained any.
Two modes: leaderboard mode scans the full Congress and ranks bills by momentum, surfacing the legislation that's picking up steam. Single-bill mode provides a detailed breakdown of each signal for a specific bill.
No other legislative tracking platform offers composite momentum scoring. Traditional tools show static cosponsor counts and status fields - they can't tell you which bills are accelerating.
Data: Combines Congress.gov cosponsorship records, news article counts, SOPR lobbying filings, and hearing schedule data.
Bill Universe
A comprehensive single-query view of everything Apogee knows about a bill: sponsors and cosponsors with party breakdowns, committee assignments and referrals, related news coverage, organizational stances (support/oppose) from press releases, witness testimony from hearings, and lobbying registrations. Pulls from the knowledge graph to assemble the full ecosystem around a bill in one response.
This eliminates the N+1 query problem common with other tools, where answering "tell me everything about this bill" requires separate searches across legislation, news, lobbying, hearings, and PAC databases. Apogee traverses the knowledge graph to return it all at once, with section toggle flags to include or exclude specific data types.
How it works: A single graph query traverses bill, sponsor, committee, news, stance, hearing, and lobbying relationships in the knowledge graph, returning a structured multi-section response.
Data: Knowledge graph combining Congress.gov, GPO hearing transcripts, press release entity extraction, SOPR lobbying filings, and news coverage from 40+ outlets.
Bill Passage Prediction
Estimates the likelihood that a bill advances through the legislative process using a transparent 8-signal heuristic model. Only ~1.3-2.5% of bills are enacted per Congress, making this a highly imbalanced prediction problem. ML is impractical with too few positive examples for reliable training, so each signal maps to a known legislative dynamic - you can see exactly why a bill scored high or low.
The eight signals, each weighted by its predictive strength: committee advancement (25%) - bills that clear committee are 10x more likely to pass; cosponsor count (15%) - more cosponsors means a broader support coalition; bipartisan support (15%) - bipartisan bills pass at roughly 3x the rate of single-party bills; sponsor influence (10%) - leadership and committee chairs get bills to the floor; lobbying intensity (10%) - lobbying correlates with legislative attention; media coverage (10%) - media attention creates political pressure to act; hearing activity (10%) - hearings signal active committee consideration; and historical base rate (5%) - some bill types and policy areas pass at significantly higher rates than others.
Two modes: leaderboard mode scans the full Congress and ranks bills by passage likelihood, making it easy to surface the legislation with the best odds. Single-bill mode provides a detailed signal breakdown for a specific bill, showing exactly which factors are driving (or dragging) its score.
How it works: All data comes from the knowledge graph. Status progression, cosponsor counts, sponsor PageRank scores, lobbying registrations, media mentions, and hearing witness counts are collected in a single graph query. Historical base rates are computed from enacted/total ratios in the prior two Congresses by bill type and policy area. Signals are normalized and combined into a weighted composite score between 0 and 1.
Data: Congress.gov bill status and cosponsorship records, Member PageRank scores from the knowledge graph, SOPR lobbying filings, news article mention counts, GPO hearing transcript witness data, and historical enactment rates from the 117th and 118th Congresses.
Related capabilities
- Committee & Hearing Intelligence - Hearing transcripts, witness testimony, committee schedules
- News & Media Intelligence - Policy news coverage linked to bills and members
- Network & Relationship Intelligence - Influence rankings, alliances, cosponsor prediction
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